Title :
Biometric personal identification based on iris recognition using complex wavelet transforms
Author :
Hariprasath, S. ; Mohan, V.
Author_Institution :
Saranathan Coll. of Eng., Trichinopoly
Abstract :
A new iris recognition system based on complex wavelet Transforms is described. In this work iris recognition based on Gabor wavelet and Morlet wavelet are described. The most unique phenotypic feature visible in a person´s face is the detailed texture of each eye´s iris. The visible texture of a person´s iris is encoded into a compact sequence of 2-D wavelet coefficients, which generate an ldquoiris coderdquo of 4096-bits. The statistical parameters like mean and covariance of coefficients of the iris images are also computed. Two different iris codes are compared using exclusively OR comparisons. Also the new iris pattern is compared against the stored pattern after computing the probability of new iris pattern and identification is performed.
Keywords :
biometrics (access control); covariance analysis; feature extraction; image coding; image recognition; image sequences; image texture; wavelet transforms; 2D wavelet coefficient sequence; Gabor wavelet; Morlet wavelet; biometric personal identification; coefficient covariance; complex wavelet transform; feature extraction; image texture; iris encoding; iris recognition system; probability; statistical parameter; Biometrics; Biopsy; Breast cancer; Breast neoplasms; Cancer detection; Iris recognition; Mammography; Ultrasonic imaging; Ultrasonography; Wavelet transforms; Biometrics; Gobar wavelet; Iris pattern; Morlet wavelet; Statistical model;
Conference_Titel :
Computing, Communication and Networking, 2008. ICCCn 2008. International Conference on
Conference_Location :
St. Thomas, VI
Print_ISBN :
978-1-4244-3594-4
Electronic_ISBN :
978-1-4244-3595-1
DOI :
10.1109/ICCCNET.2008.4787736
