System for and Methods of Storing and Comparing Computer Generated Continuous Vector Lines through a Non-Secure or a Secure Communication Channel

• US 20070236453A1
• Filed: 04/11/2007
• Published: 10/11/2007
• Est. Priority Date: 10/05/2004
• Status: Active Grant

• Current Assignee: Jclads Corporation
• Original Assignee: Jclads Corporation
• Inventors: Nguyen, Son, Maynard, Jeff
• Granted Patent: US 8,004,491 B2
• Time in Patent Office: Days
• US Class Current: 345/158
• CPC Class Codes: G06F 40/194 Calculation of difference between files
• CPC Class Codes: G06V 30/1423 the instrument generating sequences of position coordinates corresponding to handwriting preprocessing or recognising digital ink G06V30/32
• CPC Class Codes: G06V 40/394 Matching; Classification

Abstract

The present invention includes a system for and methods of storing and comparing computer generated vector lines through an insecure or a secure communication channel. A continuous vector line (CVL) identifier includes from an ordered collection of 2 or more points. Using an input device (such as computer keyboard, finger, soft keypad, or any other input from body movements or input from electrical current or impulses, or input from human or mechanical sound waves) to a physical machine, or through a token (such as credit card, USB token, which can be carried around by user), a user enters and sends their unique identifier and reference code (such as a personal identification number (PIN), and/or password or other secret code) to the physical machine by making a contact or contact-less to the computer system. As part of the enrollment process the user inscribes a pre-determined set of continuous vector lines (CVLs). The CVLs include data points that are collected from any computer pointing device, such as a mouse, stylus or a digitizer tablet, in a specific format, using a push down anatomical technique and are sent to local active content (such as a library, or a program, or an add-on to the Internet browser such as ActiveX) or a remote server for further analysis of the two CVL'"'"'s. A user should go through an Enrollment and Verification process to capture the data points and this process uses a two factor authentication and a verification scheme. The collected data points that represent a CVL profile made previously is kept in a database, registry, or memory that can be encrypted and accessed by using a reference number or other unique identifier. Access is either locally or remotely through any wired or wireless medium such as the Internet, Secure File Transfer Protocol (SFTP) server, cellular network or other communication connection to enable the comparison of a newly generated CVL identifier to the CVL profile generated previously.

Claims

1. A method of comparing two continuous vector lines (CVL) including collected data points generated by a user using a computer pointing device consisting of at least one of a mouse, stylus, touchpad, eraser stick, trackball, joystick, digitizer tablet pen or any physical input consisting of at least a finger or input from other body movements, or input from electrical current or impulses, or input from human or mechanical sound waves and comprised of the following steps:

A. Enrolling a Profile is comprised of the following steps;

i. Displaying an instruction asking the user to;

a) Use the an input device consisting of at least a computer keyboard, a finger, a soft keypad, or any other input from body movements or input from electrical current or impulses, or input from human or mechanical sound waves, or through a token consisting of at least a credit card, a USB token, which can be carried around by user and which is capable of sending a unique identifier or reference code consisting of at least a personal identification number (PIN), or a password or a secret code to the physical machine by making a contact or contact less.

b) Choose a name of the pointing input device, which is capable of capturing the Continuous Vector Line (CVL) identifier from a radio button list or drop down list,

ii. Submitting the information in step A.i.a. and A.i.b. by clicking on a “

Enroll”

submit button, which sends the input into a server, or local running active content.

iii. Grasping the pointing device by the user, which was selected in step A.i.b above, and positioning the wrist of the user to be pivoted for moving the pointing input device on at least one of the table, writing surface or on the mouse pad using a push down technique so the wrist remains stationary on the writing area surface.

iv. Using the pointing input device that was selected in step A.i.b. above, the user then completes inscribing a CVL identifier, which is comprised of 1 or more (CVL'"'"'s), according to criteria and instructions provided, moving the pointing input device using the push down technique according to the instructions provided so the wrist remains stationary and only the palm and fingers of the user move the cursor on a draw-able area shown on the displayed screen of the collecting device of the user.

v. Submitting a completed CVL identifier to the server, or a local running active content by clicking on a Next button and repeating this process of creating the CVL identifier a predetermined number of times to create a user'"'"'s CVL profile stored in the server, or a local running active content.

vi. Viewing the CVL identifier on the displayed screen of the collecting device by the user, or electing to use invisible ink, which does not display the CVL identifier on the screen of the collecting device, or using a combination of visible and invisible ink.

vii. Storing the CVL profile in an encrypted or unencrypted form in at least one of the computer registry, or memory, or database, or any computer storage device generating Subsequent CVL identifiers by the same user using any computer pointing device are also stored in the computer registry, or memory, or database, or any digital storage device to enable the comparison of the CVL identifier generated at time 2, to the CVL identifier or CVL identifiers in the CVL profile generated and recorded at time 1.

viii. Asking the user, during the enrollment, if the user enters an inconsistent CVL identifier according to pre-determined specifications, to re-inscribe and submit a consistent CVL identifier to the server, or local running active content.

ix. Directing the user to another approach to enroll if the user is unable to submit a consistent CVL identifier after a pre-determined number of attempts Viii,

B. Verifying against a Profile comprises the following steps;

i. Displaying the instruction asking the user to;

a) Use any available input device including a computer keyboard, finger, soft keypad, or any other input from body movements or input from electrical current or impulses, or input from human or mechanical sound waves, or through a token including a credit card, USB token, which can be carried around by user, which is capable of sending a identifier or reference code including a personal identification number (PIN), or password or other secret code to the physical machine by making a contact or contact less.

b) Choosing a name of the pointing input device, which is capable of capturing the Continuous Vector Line (CVL) identifier including the mouse, stylus, finger, touch pad, joystick, or other advanced pointing input device from a radio button list or a drop down list,

ii. Submitting the information by the user in step B.i.a. and B.i.b. by clicking on the validate submit button, which sends the input into a server, or local running active content.

iii. Giving the user instructions to grasp the pointing device, which was selected in step B.i.b above, and position his or her wrist (to be the pivot for moving the pointing input device) on the table, writing surface or on the mouse pad using the push down technique so the wrist remains stationary on the writing area surface.

iv. Using the pointing input device that was selected in step B.i.b. above, the user completes inscribing the CVL identifier, which includes 1 or more (CVL'"'"'s), based upon a criteria and instructions provided and moving the pointing input device using the push down technique according to the instructions provided so the wrist remains stationary so that the palm and fingers move the cursor on a draw-able area shown on the displayed screen of the user'"'"'s collecting device.

v. Submitting the completed CVL identifier to the server, or a local running active content by clicking on the Next button,

vi. Viewing the CVL identifier on the displayed screen of the collecting device, or using invisible ink which does not display the CVL identifier on the screen of the collecting device, or using the combination of visible and invisible ink,

vii. Providing consistency analysis for the new submitted CVL identifier at time 2, to the CVL identifier or CVL identifiers in the CVL profile, which is identified by the reference code, generated at time 1.

2. The method of claim 1 wherein said server includes at least one running active contents or programs, which reside on a local or remote computer system, the remote computer system including at least one computer, the main active content running on the local or remote server adapted to create a worker process or active content to handle each incoming request and the main active content running on the local or remote server adapted to listen for a new incoming request.

3. The method of claim 1 wherein said step of both Enrolling and Verifying includes collecting an ordered series of data points, to form the CVL from the input device or the pointing device refers to a line generated by at least two points.

4. The method of claim 1 wherein said data point includes x, y coordinates, and pressure and time collected at that point, wherein the time collected includes real time recorded in the computer system and/or relative time compared to the recorded time of the first data point collected.

5. The method of claim 1 wherein said push down technique includes the step of the user creating input from the pointing input device using a defined anatomical technique that limits the range of wrist and arm motion, thereby creating measurable limits in a users ability to physically move the pointing input device and wherein the user stations the user'"'"'s wrist and is limited to only using palm and fingers of the user to move the cursor of the pointing device to inscribe, this defined anatomical technique will reveal biometric parameters like hand size and maximum finger motility unique to the user in a repeatable, reproducible fashion to help confirm the matching of two continuous lines.

6. The method of claim 1 wherein said Enrolling and Verifying step includes a purpose that is defined as what future action is expected including personal account access, approval of a transaction, authentication of identity.

7. The method of claim 1 wherein said transmitted information in the CVL identifier to the server further includes information about the identity of the device including a generated Global Unique ID (GUID), device information including at least one of a MAC address, or CPU ID, network information including Internet protocol address, and information about any installed software, wherein the information is collected by the active content including a library program running in the computer system or an add-on to an Internet browser running in the computer system.

8. The method of claim 1 wherein said CVL profile includes information about the identity or personal information and behaviors about the user including a first name, a last name, a home address, a social security number, and a time of use.

9. The method of claim 1 wherein said draw-able area, which allows the user to inscribe on, is further divided into a pre-determined number of sections and wherein the behavioral information includes the predetermined number of sections indicating where the user begins and ends each individual CVL drawing and a pattern of each individual CVL.

10. The method of claim 1 wherein said CVL profile is adapted to be stored in a digital storage device including a credit card or a USB token or a chip adapted to be implanted in the user.

11. The method of claim 1 where said information which is transmitted between the local system and the local sever, or the remote server, stored, or loaded in the same local machine, or memory, or external storage device is adapted to be encrypted by using symmetric cryptographic algorithms including DES, AES or Public Key Infrastructure (PKI) Cryptography including SSL, RSA, DSA, elliptic curve cryptography.

12. The method of claim 1 wherein said step of collecting data points that form a continuous line at a first time 1 are mapped according to a pre-defined one-way conversion method at a second time for storage and/or further comparison of 2 CVLs.

13. The method of claim 12 wherein said pre-defined one-way conversion method is using quadrant analysis according to the pseudo-code:

for i = 0 to N −

1 xVal = x[i + 1] −

x[i] yVal = y[i + 1] −

y[i] QARRAY[i] = QUAD_1 if(xVal >

0 &

&

yVal >

     0) then QARRAY[i] = QUAD_1;

else if(xVal <

0 &

&

yVal >

     0) then QARRAY[i] = QUAD_2;

else if(xVal <

0 &

&

yVal <

     0) then QARRAY[i] = QUAD_3;

else if(xVal >

0 &

&

yVal <

     0) then QARRAY[i] = QUAD_4;

else if(xVal >

0 &

&

yVal ==

     0) then QARRAY[i] = QUAD_5;

else if(xVal <

0 &

&

yVal ==

     0) then QARRAY[i] = QUAD_6;

else if(xVal == 0 &

&

yVal >

     0) then QARRAY[i] = QUAD_7;

else then QARRAY[i] = QUADRANT_8;

end for where →

x[i] and y[i] over the range i=0 to i=N-1 is the discrete representation of a line, →

QARRAY[i] over the range i=0 to i=N-2 is the quadrant array, →

QUAD_1, QUAD_2, QUAD_3, QUAD_4, QUAD_5, QUAD_6, QUAD_7, and QUAD_8 are integers, →

xVal and yVal are integers, and N is the number of points.

14. The method of claim 1 wherein said consistency analysis of the new submitted CVL identifier against the CVL identifier or CVL identifiers stored in the CVL profile is analyzed at the remote server or the local running active content by tabulating a score which records the difference including percentage difference between a submitted CVL identifier at a second time (time 2) and the CVL identifier or CVL identifiers stored in the CVL profile, recorded at a first time (time 1), wherein the score is transmitted to one of the end user, other designated party, computer active content or a program either locally or remotely using wired or wireless medium including the Internet, Secure File Transfer Protocol (SFTP) server, Voice over Internet, Internet Protocol Television, satellite dish networks, cellular network or other communication connections, individually or in unison through secure or insecure transmission and wherein the score of consistency analysis received at the end user or other designated party either locally or remotely is adapted to be used to determine a privilege of the user to proceed and to allow the user to the next action or the next step consisting at least one of viewing the content of a document, launch of an application on the local or remote computer system, downloading computer application or computer data, accessing authorized users only sections on the local machine or on the network, re-directing to another site or file or folder, or approval of a transaction.

15. The method of claim 14 wherein said step of determining the percentage difference score between a new submitted CVL identifier at a second time and a CVL identifier or CVL identifiers recorded in the CVL profile at a first time is determined according to the following pseudo-code:

Function computeScore (new_CVL_identifier, CVL_profile)

If (CVL_profile only have 1 CVL identifier)Score = percentage different score between the new submittedCVL identifier at time 2 and the only one CVL identifierrecorded in the profileElseScore = value, which is calculated based on percentage differentscore between the new submitted CVL identifier at time 2and each of the CVL identifier recorded in CVL profile.End IfReturn Score;

End Function

16. The method of claim 15, wherein said step of determining the percentage difference score between the submitted CVL identifier at the second time and the CVL identifier recorded at the first time is further determined according to the following pseudo-code:

Function computeScore(new_CVL_identifier, CVL_identifier) score = 0;

If (new_CVL_identifier.numCVL “

not equal”

CVL_identifier.numCVL) { Return 0;

} Else { N = CVL_identifier.numCVL;

For i = 0 to N −

1 { score = score + PercentageDifferenceCVLs(new_CVL_identifier.CVL[i], CVL_identifier.CVL[i]) } score = score/N;

} // End if return score;

End Function Where →

new_CVL_identifier.numCVL is number of CVL in the new submitted CVL  

identifier recorded at time 2 →

CVL_identifier.numCVL is the number of CVL in the “

comparedto”

CVL  

identifier recorded at time 1 →

new_CVL_identifier.CVL[i] over the range i=0 to i=N−

1 is array of CVL in  

the new CVL identifier →

CVL_identifier.CVL[i] over the range i=0 to i=N−

1 is array of CVL in the  

“

compared to”

CVL identifier. →

score is real number, used to compute the percentage different score for 2  

CVL identifiers →

PercentageDifferenceCVLs is the function to calculate the percentage different  

score between 2 CVLs.

17. The method of claim 14 wherein said step of determining the percentage difference score between the two CVLs in the function PercentageDifferenceCVLs is further tabulated at least one of:

Quadrant arrays conversion from the CVLs'"'"' one-way transformation.

Angle analysis formed by 3 consecutive points from the CVL.

Information about the length of the CVL.

Information about the number of points recorded for the CVL.

Information about the vertical height of the CVL.

Information about the horizontal width of the CVL.

Information about the time recorded when the CVL was finished.

Information about the average speed when inscripting the CVL.

Information about the time stamped in each of the data points.

Information about pressure information recorded in each of the data point.

18. The method of claim 15 wherein said step of determining the percentage difference score between the submitted CVL identifier at the second time and multiple CVL identifiers recorded in CVL profile is further determined using an average percentage different score between the submitted CVL identifier at a second time and each CVL identifiers recorded in the CVL profile at the first time by using the following pseudo-code:

Function computeAverageScore(new_CVL_identifier, CVL_Profile) score = 0;

N = CVL_Profile.num_CVL_identifier;

If(N =

     0){ Return 1;

// 100% match } Else { For i = 0 to N −

1 { score = score + computeScore(new_CVL_identifier, CVL_Profile.CVL_identifiers[i]);

} score = score/N;

} return score;

End Function Where →

CVL_Profile is the CVL Profile recorded at time 1 →

new_CVL_identifier is the CVL identifier recorded at time 2 →

CVL_Profile.num_CVL_identifier is the number of CVL identifiers in CVL  

Profile recorded at time 1 →

CVL_Profile.CVL_identifiers[i] over the range i=0 to i=N−

1 is array of CVL  

identifier in the CVL Profile recorded at time 1 →

score is real number, used to compute the percentage different score for 2  

CVL identifiers →

computeScore is the function to calculate the percentage different score  

between a new submitted CVL identifier at time 2 against the CVL  

identifier(s) in the CVL Profile recorded at time 1.

19. The method of claim 1 wherein the step of Verify against a Profile includes after successfully verifying the trial CVL identifier created at the second time compared against the CVL profile created at the first time, the local running active content or the server includes being adapted to replace in accordance with a pre-determined replacement strategy the CVL identifier in the CVL profile recorded at the first time with the CVL identifier at the second time, wherein the pre-determined replacement algorithm may be one of a random replacement strategy or an oldest first replacement strategy.

20. The method of claim 1 wherein said CVL identifier includes at least one CVL and at least one CVL includes at least two data points.

21. The method claim 1 wherein said user is directed to another enrollment protocol involving the use of identifiers that can include at least one of a background question, an one time password, a phone call, an e-mail, a device identifier, a random number generator, a selection of a figure, a selection of a phrase, an electrical current analysis, a selection of a figure, a selection of a phrase that require an action including point and click.

22. The method claim 21 wherein the action of point and click includes a human cognitive pattern recognition comprised of:

In the enrollment process, selecting a static picture image by the user from a list or upload their own picture image and selecting a plurality of points on the image using the input device and submitting the selected points to the server.

scaling the image down to a range of substantially 90%-50% of original size, transforming the image into one of a random rectangle, a square or a trapezoid and rotating randomly the image when the user attempts to identify themselves through verification against a profile;

the position of the image and the corresponding points that were selected in the original enrollment process is changed each time verification occurs, and the user must select the same point'"'"'s location within an acceptable region of the original point using a cognitive pattern recognition.

23. The method of claim 1 wherein said step of capturing the CVL identifier includes the step of loading or downloading by the user an active content including a library, or a program, or an add-on to the Internet browser such as ActiveX to their capture device including the computer or PDA, phone or a device having at least a processor and memory storage, wherein the loaded or downloaded active content is adapted to be digitally signed with a Code Signing Certificate and is adapted to be configured automatically to enable the capture of data points generated by a mouse or any other input device.

24. The method of claim 23, wherein the active content is adapted to perform at least one of to download, purchase, renew or save into the local computer or detect newer versions and includes prompts to download or install at least one of the updated content, the Digital Certificate including the SSL Certificate, Digital ID Certificate issued by the server, or any 3^rd party Certificate Authority.

25. The method of claim 23, wherein said loaded or downloaded active content is adapted to be implemented in computer language which is adapted to be compiled into at least one of computer language code, object code, or is that implemented in high level computer language or scripting language in which the programming code is adapted to be interpreted including at least one of JavaScript, PHP, Perl, VBScript language.

26. The method of claim 1 wherein said comparison of the CVL identifier collected at the second time and in accordance with the CVL identifier recorded on the CVL profile at the first time is analyzed to distinguish between different methods of inscribing including scribbling, cursive, personal handwriting signature, letter, number, or shapes and wherein the analysis of CVL identifiers which distinguish the method of inscribing human signature includes a CVL identifier including a first CVL which will be long in accordance with a predetermined length, up and down, inscribing left to right or right to left and adapted to intersect itself and a second CVL includes a straight and un-intersect line.

27. The method of claim 1 wherein said data packet being received at the local or remote server, is adapted to create an audit or even trail log that includes pre-programmed data elements including one of an user ID, a session ID, a device name, an Internet Protocol address, a time and a date stamp, behavioral information of the user, and a request message.

28. The method of claim 1 wherein the method further includes the step of storing said CVL profile created during the step of Enroll a Profile in a local computer system to enable the step of Verify against a Profile in response to the local computer system being disconnected from the network and using the local active content to verify the trial CVL identifier at the second time in accordance with locally stored CVL profile, and maintaining a audit trail log in the local system and wherein, responsive to the local computer system connecting to the network, sending the audit trail log of the user by the local active content to the remote server.

29. The method of claim 14 wherein one of said downloaded computer application or computer data includes active content including one of an application program, configuration file, or application data, wherein the application program is adapted to be downloaded and installed one time or as needed by the local machine of the user, wherein the configuration and data files for the active content are adapted to reside on the server, in response to receiving any changes in the configuration file or the data file in the locally running application program, the changes are automatically sent to the server to update the central data and configuration files.

30. The method in claim 14 wherein said step of allowing the user to proceed to the next action or the next step includes the step of a time-out phase including a pre-determined time allowance for the user to access to the computer, the network or for running an application on local or remote computer system, and in response to the time-out expiring, the user is prompted to login again by inscribing a new CVL identifier.

31. The method in claim 1 wherein said step of comparing two continuous vector lines (CVL) from the user includes an alternative enrollment method including a backdoor method, wherein the backdoor method can be used to reset a 2^nd Factor Authentication method with the CVL profile, the backdoor method includes at least one of a background question, a one time password, a phone call, an e-mail, a device identifier, a random number generator, a selection of figures, a selection of phrases, an electrical current analysis, a selection of figures or a selection of phrases that require a action including point and click.

32. The method in claim 1 wherein said unique identifier or reference code includes a reference id including one of a user name or additional password to form a first factor authentication (1^st FA) being known to the user and wherein the first factor authentication authorizes the login of the user through a webserver or application server, wherein in response to a successful login using the first factor authentication, the user inputs a second factor authentication includes one of the CVL profile, Point &

Click Image (PCI) profile or other profile, wherein the second factor authentication input is sent to and stored in a separate server including a Biometric Signature Registry (BSR) to perform the verification analysis and tracking step.

33. The method of claim 8 wherein said information stored in the CVL profile or profile for other enrollment protocols is adapted to check against other identity databases for validity, wherein the step of checking the validity of information stored in the CVL profile or profile for other enrollment protocols includes at least one of background checking and making a direct telephone call to the phone number, which was specified during the step of Enrolling a Profile, wherein in response to the step of completing the background or valid phone number, the status of the user is then changed to a confirmed user and a confirmation number is associated with the user and includes an icon which represents the number of validity checks for that user, wherein the combination of the confirmation number and icon is an identity reputation, wherein in response to the user completing one of the background check and/or valid phone number, the value of confirmation number is adapted to be increased by other confirmed users.