Tokenless biometric electronic transactions using an audio signature to identify the transaction processor

• US 6,397,198 B1
• Filed: 07/20/1999
• Issued: 05/28/2002
• Est. Priority Date: 11/28/1994
• Status: Expired due to Term

• Current Assignee: YT Acquisition Corp.
• Original Assignee: Indivos Corporation (Solidus Networks Incorporated)
• Inventors: Lapsley, Philip Dean, Lee, Jonathan Alexander, Pare, Jr., David Ferrin, Hoffman, Ned
• Primary Examiner(s): Trammell, James P.
• Assistant Examiner(s): HAYES, JOHN W
• Application Number:
  US09/357,718
• Time in Patent Office: 1,043 Days
• Field of Search: 705/44,64,65,67,75,76,18,39,43 382/115
• US Class Current: 705/44
• 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 21/57 Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
• 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 20/20 Point-of-sale [POS] network systems
• 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 20/3674 involving authentication
• CPC Class Codes: G06Q 20/382 insuring higher security of transaction
• CPC Class Codes: G06Q 20/3821 Electronic credentials
• CPC Class Codes: G06Q 20/40 Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
• 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 20/42 : Confirmation, e.g. check or permission by the legal debtor of payment
• CPC Class Codes: G06Q 30/02 : Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G07C 9/257 : electronically G07C9/26 takes precedence
• 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 19/211 : Software architecture within ATMs or in relation to the ATM network
• 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 9/002 : 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 63/04 : for providing a confidential data exchange among entities communicating through data packet networks
• 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

The invention discloses a tokenless biometric identification computer system, comprising at least a database containing registered biometric samples of users. A comparator compares a bid biometric sample of a user to at least one registered biometric sample, the bid biometric sample obtained directly from the user during an identification process for conducting an electronic transaction by the user. A stored audio signature is associated with a transaction processor entity, which the transaction processor entity is responsible for conducting the electronic transaction. A sound generator generates an analog or digital signal from the stored audio signature, and a transducer converts the analog or digital signal to a play back audio signature. This invention generates a play back audio signature from the stored audio signature that is associated with the transaction processor entity and the play back audio signature is played back to the user to identify the transaction processor entity that conducted the electronic transaction, wherein no man made personal devices such as credit cards, identity cards or the like is used during the identification process for conducting the electronic transaction.

Claims

1. A tokenless biometric identification computer system, comprising:

a) at least one database containing registered biometric samples of users;

b) a comparator for comparing a bid biometric sample of a user to at least one registered biometric sample, the bid biometric sample obtained directly from the user during an identification process for conducting an electronic transaction by the user;

c) a stored audio signature, wherein the stored audio signature is associated with a transaction processor entity, the transaction processor entity conducting the electronic transaction;

d) a sound generator for generating an analog or digital signal from the stored audio signature; and

e) a transducer for converting the analog or digital signal to a play back audio signature,

f) wherein the play back audio signature is generated from the stored audio signature that is associated with the transaction processor entity and the play back audio signature is played back to the user to identify the transaction processor entity that conducted the electronic transaction,

wherein two or more stored audio signatures are associated with a transaction processor entity.

2. The identification computer system of claim 1 further comprising at least two transaction processor entities.

3. The identification computer system of claim 1 wherein the play back audio signature is in the form of an audio sound wave comprising one or more of the group of a tone, a musical fragment, speech, phonation, or a song.

4. A tokenless biometric identification computer system, comprising:

a) at least one database containing registered biometric samples of users;

b) a comparator for comparing a bid biometric sample of a user to at least one registered biometric sample, the bid biometric sample obtained directly from the user during an identification process for conducting an electronic transaction by the user;

c) a stored audio signature, wherein the stored audio signature is associated with a transaction processor entity, the transaction processor entity conducting the electronic transaction;

d) a sound generator for generating an analog or digital signal from the stored audio signature; and

e) a transducer for converting the analog or digital signal to a play back audio signature,

f) wherein the play back audio signature is generated from the stored audio signature that is associated with the transaction processor entity and the play back audio signature is played back to the user to identify the transaction processor entity that conducted the electronic transaction,

further comprising a stored audio signature data bank, wherein the audio signature databank contains at least two stored audio signatures, each audio signature associated with a transaction processor entity.

5. The identification computer system of claim 4 wherein the play back audio signature is in the form of an audio sound wave comprising one or more of the group of a tone, a musical fragment, speech, phonation, or a song.

6. A tokenless biometric identification computer system, comprising:

a) at least one database containing registered biometric samples of users;

b) a comparator for comparing a bid biometric sample of a user to at least one registered biometric sample, the bid biometric sample obtained directly from the user during an identification process for conducting an electronic transaction by the user;

c) a stored audio signature, wherein the stored audio signature is associated with a transaction processor entity, the transaction processor entity conducting the electronic transaction;

d) a sound generator for generating an analog or digital signal from the stored audio signature; and

e) a transducer for converting the analog or digital signal to a play back audio signature,

f) wherein the play back audio signature is generated from the stored audio signature that is associated with the transaction processor entity and the play back audio signature is played back to the user to identify the transaction processor entity that conducted the electronic transaction,

wherein at least two transaction processors are identified to the user of the computer system by playing back the audio signature associated with each transaction processor entity.

7. The identification computer system of claim 6 wherein the play back audio signature is in the form of an audio sound wave comprising one or more of the group of a tone, a musical fragment, speech, phonation, or a song.

8. A method of identification of a transaction processor entity to a user of a tokenless biometric identification computer system, comprising the steps of:

a) obtaining a bid biometric sample from the user'"'"'s person and comparing the bid biometric sample to registered biometric samples to produce a successful or failed identification of the user;

b) registering a stored audio signature associated with a transaction processor entity with the identification computer system;

c) generating an analog or digital signal from the stored audio signature; and

d) converting the analog or digital signal to a play back audio signature;

e) wherein the play back audio signature converted from the audio signature associated with the transaction processor entity is played back to the user to identify the transaction processor that conducted the electronic transaction,

wherein two or more stored audio signatures are associated with a transaction processor entity.

9. The method of claim 8 further comprising at least two transaction processor entities.

10. The method of claim 8 wherein the play back audio signature is in the form of an audio sound wave comprising one or more of the group of a tone, a musical fragment, speech, phonation, or a song.

11. A method of identification of a transaction processor entity to a user of a tokenless biometric identification computer system, comprising the steps of:

a) obtaining a bid biometric sample from the user'"'"'s person and comparing the bid biometric sample to registered biometric samples to produce a successful or failed identification of the user;

b) registering a stored audio signature associated with a transaction processor entity with the identification computer system;

c) generating an analog or digital signal from the stored audio signature; and

d) converting the analog or digital signal to a play back audio signature;

e) wherein the play back audio signature converted from the audio signature associated with the transaction processor entity is played back to the user to identify the transaction processor that conducted the electronic transaction,

further comprising an audio data bank containing at least two audio signatures, each audio signature associated with a different transaction processor entity.

12. The method of claim 11 wherein the play back audio signature is in the form of an audio sound wave comprising one or more of the group of a tone, a musical fragment, speech, phonation, or a song.

13. A method of identification of a transaction processor entity to a user of a tokenless biometric identification computer system, comprising the steps of:

a) obtaining a bid biometric sample from the user'"'"'s person and comparing the bid biometric sample to registered biometric samples to produce a successful or failed identification of the user;

b) registering a stored audio signature associated with a transaction processor entity with the identification computer system;

c) generating an analog or digital signal from the stored audio signature; and

d) converting the analog or digital signal to a play back audio signature;

e) wherein the play back audio signature converted from the audio signature associated with the transaction processor entity is played back to the user to identify the transaction processor that conducted the electronic transaction,

further comprising a stored audio signature data bank, wherein the audio signature databank contains at least two stored audio signatures, each audio signature associated with a transaction processor entity.

14. The method of claim 13 wherein the play back audio signature is in the form of an audio sound wave comprising one or more of the group of a tone, a musical fragment, speech, phonation, or a song.

15. A method of identification of a transaction processor entity to a user of a tokenless biometric identification computer system, comprising the steps of:

a) obtaining a bid biometric sample from the user'"'"'s person and comparing the bid biometric sample to registered biometric samples to produce a successful or failed identification of the user;

b) registering a stored audio signature associated with a transaction processor entity with the identification computer system;

c) generating an analog or digital signal from the stored audio signature; and

d) converting the analog or digital signal to a play back audio signature;

e) wherein the play back audio signature converted from the audio signature associated with the transaction processor entity is played back to the user to identify the transaction processor that conducted the electronic transaction,

wherein at least two transaction processors are identified to the user of the computer system by playing back the audio signature associated with each transaction processor entity.

16. The method of claim 15 wherein the play back audio signature is in the form of an audio sound wave comprising one or more of the group of a tone, a musical fragment, speech, phonation, or a song.