The application of Fourier transform in iris recognition

• Main Authors: brianyang, 楊長暻
• Other Authors: Sheu,Hsin-Teng
• Format: Others
• Language: zh-TW
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/30243943033368115756

碩士 === 國立臺灣科技大學 === 電機工程系 === 89 === Biometric recognition system has been in widespread use to identify a person in many applications such as access control, prison management, security application, financial services authentication, personnel management, and areas where the recognition relies on personal characteristics to achieve high safety. The biometric recognition includes facial features, iris, retina, hand texture, hand geometric, and signature. The characteristic of iris is that it is unique and stable over time, and therefore positively distinguishing one from another. Besides, iris has physiological characteristics that can be exploited to insure that reproductions of human iris cannot be used to fool the system. Therefore, iris recognition technique is becoming a growing area in biometric recognition system since 1993. This thesis begins to study iris recognition techniques based on 2-D Gabor filter and Laplacian Pyramid. Since an iris image contains multiple fibers, furrows, coronas, crypts, serpentine, and striations, and factors such as illumination and focusing of camera lens in iris image acquisition hinders one from making a clear picture of the characteristics of an iris, we apply low pass filter to reduce noise, followed by edge enhancement procedure before finding of an iris. Conversion of an iris image into characteristic code is achieved by utilizing Fourier transform in arc mode. Pattern match is determined by relative distance between characteristic codes. Experiments show excellent recognition rate using the iris image from six students in our lab. Keyword: biometrics, iris, recognition, Fourier transform.