Company Filing History:
Years Active: 2014
Title: Zhi Zhou - Innovator in Iris Image Acquisition Technology
Introduction
Zhi Zhou is a notable inventor based in Indianapolis, IN (US). He has made significant contributions to the field of image processing, particularly in the area of iris image acquisition. His innovative approach addresses challenges associated with non-cooperative subjects, enhancing the accuracy and efficiency of iris recognition systems.
Latest Patents
Zhi Zhou holds a patent for a "System and method for non-cooperative iris image acquisition." This patent describes a method that segments iris images from eye image data captured from non-cooperative subjects. The process involves receiving a frame of eye image data and determining the presence of a pupil by detecting glare areas in the image. Upon identifying a pupil, subsequent images are processed based on the pupil's location, and a radius is calculated for the pupil. The method employs k-means clustering and principal component analysis to locate pupil boundary points, which are then fitted to a conic. Using the pupil boundary, an angular derivative is computed for each frame containing a pupil, and iris boundary points are fitted to a conic to identify the iris region. Noise data are removed from the iris region to generate a clean iris segment. Additionally, the patent discloses a method for evaluating iris frame quality and iris image segmentation quality.
Career Highlights
Zhi Zhou is affiliated with Indiana University, where he continues to advance his research and development in image processing technologies. His work has implications for various applications, including security and biometric identification systems.
Collaborations
Zhi Zhou collaborates with esteemed colleagues such as Eliza Yingzi Du and Emrah Arslanturk. Their combined expertise contributes to the innovative research environment at Indiana University.
Conclusion
Zhi Zhou's contributions to iris image acquisition technology exemplify the impact of innovative thinking in the field of image processing. His patent reflects a significant advancement in the ability to capture and analyze iris images from non-cooperative subjects, paving the way for improved biometric systems.