Tokenless identification of individuals

• US 5,805,719 A
• Filed: 03/18/1997
• Issued: 09/08/1998
• Est. Priority Date: 11/28/1994
• Status: Expired due to Term

• Current Assignee: YT Acquisition Corp.
• Original Assignee: Smarttouch Incorporated
• Inventors: Lee, Jonathan Alexander, Hoffman, Ned, Pare, Jr., David Ferrin
• Primary Examiner(s): Boudreau, Leo
• Assistant Examiner(s): Tadayon, Bijan
• Application Number:
  US08/820,008
• Time in Patent Office: 539 Days
• Field of Search: 340/825.34, 340/825.33, 340/825.31, 395/244, 395/241, 395/243, 380/21, 380/24, 902/26, 902/1, 902/2, 902/3, 902/4, 902/5, 902/6, 902/8, 902/9, 902/10, 902/12, 902/13, 902/22, 902/23, 902/24, 902/25, 902/27, 235/380, 235/375, 235/376, 235/379, 235/381, 235/382, 235/383, 235/382.5, 235/384, 235/385, 235/386, 382/115, 382/116, 382/117, 382/118, 382/119, 382/124, 382/128, 382/181, 382/190, 382/209
• US Class Current: 382/115
• CPC Class Codes: G06F 18/28 Determining representative reference patterns, e.g. by averaging or distorting; Generating dictionaries
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06F 21/554 involving event detection and direct action
• CPC Class Codes: G06F 21/83 input devices, e.g. keyboards, mice or controllers thereof
• CPC Class Codes: G06F 21/86 Secure or tamper-resistant housings
• CPC Class Codes: G06F 2211/008 Public Key, Asymmetric Key, Asymmetric Encryption
• CPC Class Codes: G06F 2221/2117 User registration
• CPC Class Codes: G06Q 20/00 Payment architectures, schemes or protocols apparatus for performing or posting payment transactions G07F7/08, G07F19/00; electronic cash registers G07G1/12
• CPC Class Codes: G06Q 20/02 involving a neutral party, e.g. certification authority, notary or trusted third party [TTP]
• CPC Class Codes: G06Q 20/04 Payment circuits
• CPC Class Codes: G06Q 20/10 specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
• CPC Class Codes: G06Q 20/12 specially adapted for electronic shopping systems
• CPC Class Codes: G06Q 20/18 involving self-service terminals [SST], vending machines, kiosks or multimedia terminals
• CPC Class Codes: G06Q 20/341 Active cards, i.e. cards including their own processing means, e.g. including an IC or chip
• CPC Class Codes: G06Q 20/4014 Identity check for transactions
• CPC Class Codes: G06Q 20/40145 Biometric identity checks
• CPC Class Codes: G06Q 20/4097 using mutual authentication between devices and transaction partners
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06V 40/1365 Matching; Classification
• CPC Class Codes: G07C 2209/14 With a sequence of inputs of different identification information
• CPC Class Codes: G07C 9/37 : using biometric data, e.g. fingerprints, iris scans or voice recognition
• CPC Class Codes: G07F 19/201 : Accessories of ATMs
• CPC Class Codes: G07F 19/207 : Surveillance aspects at ATMs
• CPC Class Codes: G07F 7/10 : together with a coded signal , e.g. in the form of personal identification information, like personal identification number [PIN] or biometric data
• CPC Class Codes: G07F 7/1008 : Active credit-cards provided with means to personalise their use, e.g. with PIN-introduction/comparison system
• CPC Class Codes: G07F 9/001 : Interfacing with vending machines using mobile or wearable devices
• CPC Class Codes: G07F 9/002 : Vending machines being part of a centrally controlled network of vending machines
• CPC Class Codes: H04L 2463/102 : applying security measure for e-commerce data processing systems or methods, specially adapted for e-commerce G06Q30/00
• CPC Class Codes: H04L 63/02 : for separating internal from external traffic, e.g. firewalls
• CPC Class Codes: H04L 63/04 : for providing a confidential data exchange among entities communicating through data packet networks
• CPC Class Codes: H04L 63/0428 : wherein the data content is protected, e.g. by encrypting or encapsulating the payload
• CPC Class Codes: H04L 63/0861 : using biometrical features, e.g. fingerprint, retina-scan cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231

Abstract

A tokenless identification system and method for authorization of transactions and transmissions. The tokenless system and method are principally based on a correlative comparison of a unique biometrics sample, such as a finger print or voice recording, gathered directly from the person of an unknown user, with an authenticated biometrics sample of the same type obtained and stored previously. The system can be networked to act as a full or partial intermediary between other independent computer systems, or may be the sole computer systems carrying out all necessary executions. The system further contemplates the use of a private code that is returned to the user after the identification has been complete, authenticating and indicating to the user that the computer system was accessed. The identification system and method additionally include emergency notification device to permit an authorized user to alert authorities an access attempt is coerced.

Claims

1. A tokenless method for rapid search of previously stored biometric samples from individuals using at least two biometric baskets, at least one biometric basket containing at least two algorithmically unique biometric samples from different individuals, each biometric basket containing less than the total number of samples registered with the system, and each biometric basket being identified by a personal identification code, the method comprising;

a. a storage step further comprising;

i. gathering a biometric sample from an individual;

ii. selecting a personal identification code that indexes a biometric basket;

iii. locating the biometric basket identified by the personal identification code;

iv. comparing the biometric sample gathered from said individual, with all previously stored biometric samples in the biometric basket, to make sure that the biometric sample gathered from the individual is algorithmically unique from all biometric samples currently stored in said biometric basket for producing a successful or failed uniqueness result; and

v. upon return of a successful uniqueness result, storing of the entered biometric sample gathered from said individual in the selected biometric basket; and

b. a bid step further comprising;

i. entering a bid personal identification code by a candidate individual;

ii. entering a bid biometric sample by said candidate individual; and

c. a comparison step further comprising;

i. locating the biometric basket that is identified by the bid personal identification code entered by said candidate individual; and

ii. comparison of the bid biometric sample from said candidate individual with all of the biometric samples stored in the identified biometric basket for producing either a successful or failed identification result.