Counterfeit prevention using miniature security marks

• US 9,033,371 B2
• Filed: 12/23/2005
• Issued: 05/19/2015
• Est. Priority Date: 12/23/2005
• Status: Active Grant

• Current Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Original Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Inventors: Fan, Zhigang
• Primary Examiner(s): GRABOWSKI, KYLE ROBERT
• Application Number:
  US11/317,768
• Publication Number:
  US 20070158434A1
• Time in Patent Office: 3,434 Days
• Field of Search: 235487-489, 235/494, 235/900, 283/105, 283/901
• US Class Current: 283/91
• CPC Class Codes: B41M 3/14 Security printing securities B42D25/29
• CPC Class Codes: B42D 15/00 Printed matter of special format or style not otherwise provided for
• CPC Class Codes: H04N 1/32144 embedded in the image data, i.e. enclosed or integrated in the image, e.g. watermark, super-imposed logo or stamp
• CPC Class Codes: H04N 2201/3271 Printing or stamping

Abstract

A system applies a security mark to a recipient. A data reception component receives information from one or more sources. A security mark generation component generates at least one miniature security mark (MSM) configuration based at least in part upon the information from the data reception component. An application component applies the at least one MSM configuration to one or more recipients.

Claims

1. A system that applies a security mark to a recipient, comprising:

a data reception component that receives information from one or more sources;

a memory component which stores at least one of;

an algorithm, a formula, a method, a look up table, a database, and a process that is at least one of;

stored, viewed, edited, organized, and retrieved for use in generating a particular security mark configuration;

a security mark generation component that generates at least one security mark configuration comprising;

at least two anchor marks which provide reference points that allow detection and extraction of the security mark configuration regardless of the size, shift and/or rotation of the security mark configuration;

wherein at least one of the anchor marks includes a shape which is non-rectangular; and

at least one data mark which is different from the anchor marks in at least one of;

size, shape, and color; and

an application component that applies the at least one security mark configuration to one or more recipients,

wherein the security mark configuration includes;

at least three data marks located within a proximity of the at least two anchor marks that is representative of the information received by the data reception component and placed in any location relative to each other.

2. The system according to claim 1, wherein at least one of the anchor marks includes a color outline and/or fill.

3. The system according to claim 1, wherein the security mark configuration applied utilizes at least one of printing, engraving, embossing, discoloration and material removal of the recipient.

4. The system according to claim 1, wherein security mark generation is based on at least one of a data source, a user preference, a time constraint, a footprint constraint, a data constraint, and a surface type.

5. The system according to claim 1, wherein the information received is representative of at least one of an origin of manufacture, a date, a time, a serial number, and an alphanumeric string.

6. The system according to claim 1, wherein the recipient is one of paper, velum, acetate, and glass.

7. The system according to claim 1, wherein the recipient is one of a document, a title, a license, a deed, a visa, a passport, a bill of currency, and a check.

8. The system according to claim 1, further comprising:

an artificial intelligence component which employs information received from said one or more sources to determine at least one appropriate security mark generation algorithm by machine learning, wherein said machine learning is achieved by employing at least one training set of data having examples of at least one of desired and undesired results for at least one of data format and processing techniques that can be utilized to train the system;

and wherein the security mark generation components generates at least one security mark based upon an algorithm determined from the artificial component.

9. A method for applying a security mark to a recipient, said method comprising:

receiving information from at least one source into a data reception component;

employing said information to develop at least one security mark generation algorithm using machine learning by an artificial intelligence component, wherein said machine learning is achieved by employing at least one training set of data having examples of at least one of desired and undesired results for at least one of data format and processing techniques that can be utilized to train the system;

generating at least one security mark configuration using said at least one security mark generation algorithm from said artificial intelligence component, wherein said at least one mark is based at least in part upon the association between the information received from the data component and the information received from the memory component, the security mark configuration includes;

at least two anchor marks which provide reference points that allow detection and extraction of the security mark configuration regardless of the size, shift and/or rotation of the security mark configuration;

wherein at least one anchor mark includes a shape which is non-rectangular; and

at least three data marks located within a proximity of the at least two anchor marks that is representative of the information received by the data reception component and placed in any location relative to each other; and

applying the at least one security mark configuration to one or more recipients.

10. The method according to claim 9, wherein the the anchor marks and/or data marks include a color outline and/or fill.

11. A system that applies a security mark to a recipient, comprising:

a data reception component that receives information from one or more sources;

a memory component, separate from said data reception component that stores at least one of an algorithm, a formula, a method, a look up table, a database, and a process that is at least one of stored, viewed, edited, organized, and retrieved for use in generating a particular security mark configuration;

an artificial intelligence component that determines an appropriate security mark generation algorithm for generating a particular security mark configuration, said at least one security mark generation algorithm determined by machine learning, wherein said machine learning is achieved by employing at least one training set of data having examples of at least one of desired and undesired results for at least one of data format and processing techniques that can be utilized to train the system;

a security mark generation component that generates at least one security mark configuration that includes;

at least three data marks; and

at least two anchor marks which provide reference points that allow detection and extraction of the security mark configuration regardless of the size, shift and/or rotation of the security mark configuration, wherein said security mark is based upon the association between the information from the data reception component and the information received from the artificial intelligence component;

wherein at least one of the anchor marks includes a shape which is non-rectangular;

wherein the at least three data marks are located within a proximity of the at least two anchor marks that is representative of the information received by the data reception component and are placed in any location relative to each other; and

an application component that applies the at least one security mark configuration to one or more recipients.