Title :
A Study on Designing Iris Recognition System Based on TMS320DM642
Author :
Li, Zhengming ; Zhu, Xiaoqin ; Wang, Yinghai
Author_Institution :
Jiangsu Univ., Zhenjiang
Abstract :
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention over the past decade. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. This paper proposes the constitution of iris recognition system based on DSP. Firstly, the image acquisition is transformed to digital signal by video processing chip, then transfer the signal to DSP and complete the iris image pretreatment, coding, recognition. Moreover, this paper also introduces the iris localization algorithm in detail, and proposes a new improvement method.
Keywords :
biometrics (access control); image coding; image recognition; security of data; TMS320DM642; automated personal identification; biometric recognition; digital signal; image acquisition; image coding; image recognition; iris image pretreatment; iris recognition; security; video processing chip; Biometrics; Digital signal processing chips; Eyelashes; Image edge detection; Image recognition; Infrared imaging; Iris recognition; Security; Signal processing; Signal processing algorithms; Canny Edge Detection; DM642; Hough Voting Mechanism; Iris Location; Iris recognition;
Conference_Titel :
Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-1685-1
Electronic_ISBN :
978-1-4244-1686-8
DOI :
10.1109/ICNSC.2008.4525437
