Efficient prevention of fraud

• US 10,332,118 B2
• Filed: 12/29/2016
• Issued: 06/25/2019
• Est. Priority Date: 03/15/2013
• Status: Expired due to Fees

• Current Assignee: EyeLock LLC (VOXX International Corporation)
• Original Assignee: EyeLock LLC (VOXX International Corporation)
• Inventors: Hanna, Keith J.
• Primary Examiner(s): Potratz, Daniel B
• Application Number:
  US15/394,421
• Publication Number:
  US 20170109754A1
• Time in Patent Office: 908 Days
• CPC Class Codes: G06F 18/24 Classification techniques
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06F 2221/2113 Multi-level security, e.g. mandatory access control
• CPC Class Codes: G06Q 20/40145 Biometric identity checks
• CPC Class Codes: G06Q 20/4015 using location information
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing
• CPC Class Codes: G06V 40/12 Fingerprints or palmprints
• CPC Class Codes: G06V 40/1347 Preprocessing; Feature extraction
• CPC Class Codes: G06V 40/45 Detection of the body part being alive
• CPC Class Codes: G06V 40/67 by interactive indications to the user
• CPC Class Codes: G06V 40/70 Multimodal biometrics, e.g. combining information from different biometric modalities
• 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
• CPC Class Codes: H04N 19/426 using memory downsizing methods
• CPC Class Codes: H04N 19/65 using error resilience

Abstract

This disclosure is directed to methods and systems for managing difficulty of use and security for a transaction. A transaction manager operating on a computing device may determining a range of possible steps for a transaction comprising security measures available for the transaction. The transaction manager may identify a threshold for a security metric to be exceeded for authorizing the transaction, the security metric to be determined based on performance of steps selected for the transaction. The transaction manager may select for the transaction at least one step from the range of possible steps, based on optimizing between (i) a difficulty of use quotient of the transaction from subjecting a user to the at least one step, and (ii) the security metric relative to the determined threshold.

Claims

1. A method for selective identification of biometric data for efficient compression, the method comprising:

(a) determining, by an evaluation module operating on a biometric device, if a set of biometric data acquired from a subject satisfies a quality threshold indicating sufficiency of quality for subsequent automatic or manual biometric recognition, while satisfying a set of predefined criteria that includes criteria for achieving efficient compression of a corresponding type of biometric data, which includes estimating an expected amount of compression artifacts that data compression would introduce to the set of biometric data, accessing a table that relates amounts of compression artifacts introduced in biometric data to predetermined threshold levels for biometric recognition, and comparing the expected amount with a corresponding threshold level indicated by the table for the biometric recognition, the determination including the estimation, the access and the comparison performed prior to performing data compression on the set of acquired biometric data; and

(b) classifying, based on the determination, whether to retain the set of acquired biometric data for subsequent data compression.

2. The method of claim 1, wherein (a) comprises determining at least one of:

an orientation, a dimension, a location, a brightness and a contrast of a biometric feature within the acquired biometric data.

3. The method of claim 1, wherein (a) comprises determining if the set of acquired biometric data meets a threshold for data or image resolution.

4. The method of claim 1, further comprising determining an amount of distortion that data compression is expected to introduce to the set of biometric data, prior to storing the set of biometric data in a compressed format.

5. The method of claim 1, further comprising preprocessing the acquired set of biometric data prior to data compression, the preprocessing comprising at least one of performing:

an image size adjustment, an image rotation, an image translation, an affine transformation, a brightness adjustment, and a contrast adjustment.

6. The method of claim 1, further comprising transforming the set of biometric data to minimize least squared error between corresponding features in the transformed set of biometric data and a reference template, prior to data compression.

7. The method of claim 1, further comprising calculating a delta image or delta parameters between the set of biometric data and another set of biometric data, for compression.

8. The method of claim 1, further comprising grouping the set of biometric data with one or more previously acquired sets of biometric data that are likely to be, expected to be, or known to be from a same subject, and calculating a delta image or delta parameters between at least two of the biometric data sets, for compression.

9. The method of claim 1, further comprising performing a first level of compression on a first portion of the acquired set of biometric data, and a second level of compression on a second portion of the acquired set of biometric data.

10. The method of claim 1, further comprising providing, responsive to the determination, guidance to a corresponding subject to aid acquisition of an additional set of biometric data from the subject.

11. A system for selective identification of biometric data for efficient compression, the system comprising:

a sensor, configured to acquire a set of biometric data; and

an evaluation module comprising circuitry configured to;

determine, prior to performing data compression on the set of biometric data acquired from a subject, if the acquired set of biometric data satisfies a quality threshold indicating sufficiency of quality for subsequent automatic or manual biometric recognition, while satisfying a set of predefined criteria that includes criteria for achieving efficient compression of a corresponding type of biometric data, which includes estimating an expected amount of compression artifacts that data compression would introduce to the set of biometric data, accessing a table that relates amounts of compression artifacts introduced in biometric data to predetermined threshold levels for biometric recognition, and comparing the expected amount with a corresponding threshold level indicated by the table for the biometric recognition, the determination including the estimation, the access and the comparison performed prior to performing data compression on the set of acquired biometric data; and

classify, based on the determination, whether to retain the acquired set of biometric data for subsequent data compression.

12. The system of claim 11, wherein the evaluation module determines at least one of:

an orientation, a dimension, a location, a brightness and a contrast of a biometric feature within the acquired biometric data.

13. The system of claim 11, wherein the evaluation module determines if the set of acquired biometric data meets a threshold for data or image resolution.

14. The system of claim 11, wherein the evaluation module determines an amount of distortion that data compression is expected to introduce to the set of biometric data, prior to storing the set of biometric data in a compressed format.

15. The system of claim 11, further comprising a processor, the processor preprocessing the acquired set of biometric data prior to data compression, the preprocessing comprising at least one of performing:

an image size adjustment, an image rotation, an image translation, an affine transformation, a brightness adjustment, and a contrast adjustment.

16. The system of claim 11, further comprising a processor, the processor transforming the set of biometric data to minimize least squared error between corresponding features in the transformed set of biometric data and a reference template, prior to data compression.

17. The system of claim 11, further comprising a processor, the processor calculating a delta image or delta parameters between the set of biometric data and another set of biometric data, for compression.

18. The system of claim 11, further comprising a processor, the processor grouping the set of biometric data with one or more previously acquired sets of biometric data that are likely to be, expected to be, or known to be from a same subject, and calculating a delta image or delta parameters between at least two of the biometric data sets, for compression.

19. The system of claim 11, further comprising a processor, the processor performing a first level of compression on a first portion of the acquired set of biometric data, and a second level of compression on a second portion of the acquired set of biometric data.

20. The system of claim 11, further comprising a guidance mechanism, the guidance mechanism providing, responsive to the determination, guidance to a corresponding subject to aid acquisition of an additional set of biometric data from the subject.