# US 9,520,999 B2 · Systems and methods for identifying an individual

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- Number: US 9,520,999 B2
- Document ID: US9520999B2
- Status: Granted
- Kind: B2
- Application number: 14/794,268
- Filed: 2015-07-08
- Published: 2016-01-28
- Granted: 2016-12-13
- Earliest claimed: 2011-08-26
- Assignees: Life Technologies Corporation
- Applicants: Life Technologies Corporation
- Inventors: Leonard Klevan; Hugh Pasika; Ravi Gupta; Allan Minn; Phillip McClurg
- Web page: https://patentgrep.com/patent/US9520999B2

## CPC

- G06F 21/32: using biometric data, e.g. fingerprints, iris scans or voiceprints
- G06F 21/34: involving the use of external additional devices, e.g. dongles or smart cards
- G06F 21/602: {Providing cryptographic facilities or services}
- G06F 21/6245: {Protecting personal data, e.g. for financial or medical purposes}
- G06Q 50/265: {Personal security, identity or safety}
- G07C 9/257: {electronically (G07C9/26 takes precedence)}
- H04L 9/3231: {Biological data, e.g. fingerprint, voice or retina (network architectures or network communication protocols for supporting authentication of entities using biometrical features in a packet data network H04L63/0861)}
- H04L 9/3234: {involving additional secure or trusted devices, e.g. TPM, smartcard, USB or software token (network architectures or network communication protocols for supporting authentication of entities using an additional device in a packet data network H04L63/0853)}
- H04L 9/3242: {involving keyed hash functions, e.g. message authentication codes [MACs], CBC-MAC or HMAC}
- H04L 9/3268: {using certificate validation, registration, distribution or revocation, e.g. certificate revocation list [CRL]}
- G06F 7/02: Comparing digital values (G06F7/06, {G06F7/22,} G06F7/38 take precedence)
- G06F 16/25: Integrating or interfacing systems involving database management systems
- G06V 40/50: Maintenance of biometric data or enrolment thereof
- G16B 30/00: ICT specially adapted for sequence analysis involving nucleotides or amino acids
- G16B 50/00: ICT programming tools or database systems specially adapted for bioinformatics
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G07C: TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G16B: BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY

## Abstract

The present application relates to systems and methods using biometric data of an individual for identifying the individual and/or verifying the identity of an individual. These systems and methods are useful for, amongst many applications, more secure identification of high-risk individuals attempting to gain access to an entity, transport, information, location, security organization, law enforcement organization, transaction, services, authorized status, and/or funds.

## Claims

### Claim 1

A non-transitory computer readable medium including computer readable instructions, which when executed by a computer, operates on individualized identification information of an individual comprising an individualized biometric data of at least a first class and an individualized identification hash comprising the individualized biometric data of the first class and an individualized biometric data of a second class, and instructs the computer to:
a) connect with at least one interrogation database comprising a plurality of interrogation biometric data of the second class;
b) interrogate the at least one interrogation database wherein each of the plurality of interrogation biometric data of the second class is hashed together with the individualized biometric data of the first class to form a plurality of interrogation database identification hashes;
c) compare each of the plurality of interrogation database identification hashes to the individualized identification hash; and
d) report a match of any of the plurality of database identification hashes to the individualized identification hash.

### Claim 2 (depends on 1)

The computer readable medium of claim 1, wherein the individualized identification information is stored on an identification card.

### Claim 3 (depends on 1)

The computer readable medium of claim 1, wherein the individualized biometric data of the first class is a fingerprint data or a retinal scan data or an iris scan.

### Claim 4 (depends on 1)

The computer readable medium of claim 1, wherein the individualized biometric data of the second class is a DNA data selected from the group consisting of a STR profile, a SNP profile, an INDEL profile, and an Alu element.

### Claim 5 (depends on 1)

The computer readable medium of claim 1, wherein the individualized identification information further comprises a plurality of partial individualized identification hashes, each comprising the individualized biometric data of the first class and each of a plurality of partial individualized biometric data of the second class.

### Claim 6 (depends on 5)

The computer readable medium of claim 5, wherein the computer is further instructed to:
a) retrieve the plurality of partial individualized identification hashes;
b) compare the plurality of interrogation database identification hashes with the plurality of partial individualized identification hashes; and
c) report whether a match is identified.

### Claim 7 (depends on 5)

The computer readable medium of claim 5, wherein the computer is further instructed to:
a) form a plurality of partial interrogation database identification hashes comprising the individualized biometric data of the first class and each of a plurality of partial interrogation database biometric data of the second class.

### Claim 8 (depends on 7)

The computer readable medium of claim 7, wherein the computer is further instructed to:
a) compare each of the plurality of the partial individualized identification hashes to each of the plurality of the partial interrogation database biometric hashes; and
b) report whether a match is identified.

### Claim 9 (depends on 1)

The computer readable medium of claim 1, wherein the computer is further instructed to:
a) read the first class of individualized biometric data at a point of contact; and
b) confirm the first class of individualized biometric data at the point of contact.

### Claim 10 (depends on 1)

The computer readable medium of claim 1, wherein the individualized identification information further comprises a third or more class of individualized biometric data selected from the group consisting of a fingerprint scan data, iris scan data, retinal scan data, facial recognition scan data, and body geometry scan data and a DNA data, wherein the DNA data is selected from the group consisting of a STR profile, a SNP profile, an INDEL profile, and an Alu element.

### Claim 11 (depends on 10)

The computer readable medium of claim 10, wherein the computer is further instructed to:
a) read the third class of individualized biometric data at the point of contact; and
b) confirm the third class of individualized biometric data at the point of contact.

### Claim 12

A non-transitory computer readable medium including computer readable instructions, which when executed by a computer, operates on at least one biometrics acquisition component, and instructs the computer to:
a) acquire individualized biometric data of at least a first and a second class from an individual;
b) convert the individualized biometric data of the first class into a digital electronic format;
c) store a first instance of the digitized individualized biometric data of the first class;
d) convert the individualized biometric data of the second class into a digital electronic format;
e) hash a second instance of the digitized individualized biometric data of the first class with the digitized individualized biometric data of the second class to form a first individualized identification hash; and
f) store the individualized identification hash.

### Claim 13 (depends on 12)

The computer readable medium of claim 12, wherein the computer is further instructed to:
a) convert the digitized individualized biometric data of the second class into a plurality of partial individualized biometric data of the second class;
b) hash a second instance of the digitized individualized biometric data of the first class with each of the plurality of the digitized individualized biometric data of the second class to form a plurality of partial individualized identification hashes; and
c) store the plurality of partial individualized identification hashes.

### Claim 14 (depends on 12)

The computer readable medium of claim 12, further comprising instructing the computer to:
a) assign an enrollment verification certification; and
b) store the enrollment verification certification.

### Claim 15 (depends on 12)

The computer readable medium of claim 12, wherein the individualized identification information of the individual is stored on an identification card.