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 Chung-Ling Huang
Introduction
Chung-Ling Huang is a notable inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of iris recognition technology. His innovative approach utilizes advanced algorithms to enhance the accuracy and efficiency of iris feature extraction.
Latest Patents
Chung-Ling Huang 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. Importantly, it maintains 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 the matching pursuit algorithm. This allows the iris image to be represented by a sequence of atoms, each containing base, amplitude, and location. The comparison of feature vectors from two irises determines whether they match.
Career Highlights
Chung-Ling Huang is affiliated with National Yang Ming Chiao Tung University, where he continues to advance research in iris recognition technologies. His work has garnered attention for its practical applications in security and identification systems.
Collaborations
Chung-Ling Huang has collaborated with esteemed colleagues such as Jian-Liang Lin and Wen-Gang Che. Their combined expertise has contributed to the development of innovative solutions in the field.
Conclusion
Chung-Ling Huang's contributions to iris recognition technology exemplify the impact of innovative thinking in enhancing security measures. His patent reflects a significant advancement in the field, showcasing the potential for further developments in biometric identification systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile