Location History:
- Mercer Island, WA (US) (2015 - 2022)
- San Jose, CA (US) (2008 - 2024)
Company Filing History:
Years Active: 2008-2025
Title: The Innovative Contributions of Andrew Michael Rosenbaum
Introduction
Andrew Michael Rosenbaum is a prominent inventor based in San Jose, California. He has made significant contributions to the field of biometric technology, holding a total of 14 patents. His work focuses on enhancing the accuracy of biometric matching systems, which are increasingly important in various applications today.
Latest Patents
One of Andrew's latest patents is titled "Systems and methods for enhancing biometric matching accuracy." This innovative system utilizes an image sensor, such as a digital camera, to capture images of a person's face. The system performs image enhancement techniques, including edge and contrast enhancement, before executing face matching. The enhancement can be localized to specific image regions based on determined illumination. Additionally, the system conducts image processing and analysis, which includes face detection, alignment, feature extraction, and recognition. A biometric recognition confidence indicator is generated from the results of the image enhancement and analysis. If this indicator falls below a certain threshold, the system enhances recognition confidence using images of visual indicia captured by the image sensor.
Career Highlights
Throughout his career, Andrew has worked with notable companies such as Flash Seats, LLC and Thermogenesis Group, Inc. His experience in these organizations has contributed to his expertise in biometric technologies and systems.
Collaborations
Andrew has collaborated with several professionals in his field, including Ron Wiener and Benjamin Charles Cohen. These collaborations have further enriched his work and innovations in biometric matching systems.
Conclusion
Andrew Michael Rosenbaum's contributions to biometric technology demonstrate his commitment to innovation and excellence. His patents and career achievements reflect a deep understanding of the complexities involved in enhancing biometric matching accuracy. His work continues to influence the development of advanced biometric systems.