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Hamilton, NJ, United States of America

Princeton Identity, Inc.

Calculating rank

USPTO Granted Patents = 26

CIPO Patents = 2

Trademarks = 2

Forward Citations = 92

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32 inventors (with patents filed for the assignee):

David Alan Ackerman (25 out of 55 patents)

Barry E Mapen (14 out of 16 patents)

John Timothy Green (10 out of 12 patents)

4. Steven N Perna (9 out of 9 patents)

5. Kevin Richards (7 out of 7 patents)

6. Bobby S Varma (7 out of 7 patents)

7. Mark A Clifton (6 out of 6 patents)

8. Jongjin Kim (6 out of 7 patents)

9. Stephen J Piro (6 out of 6 patents)

10. Ann-Marie Lanzillotto (6 out of 6 patents)

11. David J Wade (6 out of 6 patents)

12. Michael P Fleisch (6 out of 6 patents)

13. Jitendra J Bhangley (6 out of 6 patents)

14. Glen J Van Sant (6 out of 9 patents)

15. Timothy James Davis (6 out of 11 patents)

Core Competencies:

Biometric Recognition

Iris Recognition

Anti-Spoofing

Multi-Modal Analysis

Biometric Enrollment

Contact Lens Detection

Image Sensor

Access Control

Biometric Matching

Wireless Communication

Natural Reflectivity

User Feedback

26 patents: Sort by Forward Citations

1. 12511360 - Face biometric recognition with anti-spoofing (2025-12-30),

2. 12380188 - Method and system for seamless biometric system self-enrollment (2025-08-05),

3. 12190638 - Compact system and method for iris recognition (2025-01-07),

4. 12131587 - Method and system for detection of weighted contact lenses imprinted with iris images (2024-10-29),

5. 11922727 - Compact system and method for iris recognition (2024-03-05),

6. 11657133 - Systems and methods of multi-modal biometric analysis (2023-05-23),

7. 11488417 - Iris and periocular region biometric recognition (2022-11-01),

8. 11380135 - Systems and methods of enhancing biometric matching accuracy and/or efficiency (2022-07-05),

9. 11157733 - Systems and methods of enhancing biometric matching accuracy and/or efficiency (2021-10-26),

10. 10943138 - Systems and methods of biometric analysis to determine lack of three-dimensionality (2021-03-09),

11. 10902104 - Biometric security systems and methods (2021-01-26),

12. 10762367 - Systems and methods of biometric analysis to determine natural reflectivity (2020-09-01),

13. 10643088 - Systems and methods of biometric analysis with a specularity characteristic (2020-05-05),

14. 10643087 - Systems and methods of biometric analysis to determine a live subject (2020-05-05),

15. 10607096 - Z-dimension user feedback biometric system (2020-03-31),

Company Overview

Princeton Identity, Inc. specializes in biometric identity solutions, focusing on advanced facial recognition technology and identity management systems. The company develops products that enhance security and streamline access control across various sectors, including government, healthcare, and commercial enterprises. Headquartered in Hamilton, NJ, Princeton Identity leverages cutting-edge research in computer vision and machine learning to deliver innovative solutions that address the growing demand for secure and efficient identity verification.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

26 Patents

#3 in Hamilton, NJ

#502 in New Jersey

#12,875 in US

#24,848 in the World

Hamilton, NJ, United States of America

Princeton Identity, Inc.

Forward Citations = 92

32 inventors:

David Alan Ackerman (25 out of 55 patents)

Barry E Mapen (14 out of 16 patents)

John Timothy Green (10 out of 12 patents)

4. Steven N Perna (9 out of 9 patents)

5. Kevin Richards (7 out of 7 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Princeton Identity, Inc.. Retrieved from https://idiyas.com/company/princeton-identity

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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