This inventor holds 1 USPTO granted patent. Top assignee: National Yang Ming Chiao Tung University. Active years: 2011.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2011
Title: Innovations in Iris Recognition by Wen-Gang Che
Introduction
Wen-Gang Che is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of biometric recognition, particularly through his innovative work on iris recognition technology. His research focuses on enhancing the accuracy and efficiency of iris recognition systems.
Latest Patents
Wen-Gang Che holds a patent for an "Iris recognition method utilizing matching pursuit algorithm." This invention simplifies the extraction and reconstruction of iris features while reducing the memory space required for each iris feature vector, all without compromising recognition accuracy. The method includes an iris-localization component that identifies the iris region based on color differences in the eyeball. Primary iris features are extracted and transformed into a sequence of iris feature vectors using a matching pursuit algorithm. This allows the iris image to be represented by a sequence of atoms, each containing base, amplitude, and location. The final step involves comparing the feature vectors of two irises to determine if they match.
Career Highlights
Wen-Gang Che is affiliated with National Yang Ming Chiao Tung University, where he continues to advance research in biometric technologies. His work has garnered attention for its practical applications in security and identification systems.
Collaborations
Wen-Gang Che has collaborated with several colleagues, including Jian-Liang Lin and Chung-Ling Huang, who contribute to the research and development of iris recognition technologies.
Conclusion
Wen-Gang Che's innovative approach to iris recognition through the matching pursuit algorithm represents a significant advancement in biometric technology. His contributions are paving the way for more efficient and accurate identification systems in various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile