Iris Recognition based on Histogram Equalization and Discrete Cosine Transform

2020 ◽  
Author(s):  
Amina A. Abdo ◽  
Ahmed Lawgali ◽  
Ahmed K. Zohdy
Keyword(s):  
Discrete Cosine Transform ◽  
Iris Recognition ◽  
Histogram Equalization ◽  
Cosine Transform

scholarly journals Novel Iris Biometric Watermarking Based on Singular Value Decomposition and Discrete Cosine Transform

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Jinyu Lu ◽  
Tao Qu ◽  
Hamid Reza Karimi
Keyword(s):  
Discrete Cosine Transform ◽  
Error Control ◽  
Iris Recognition ◽  
Singular Values ◽  
Digital Products ◽  
Error Control Coding ◽  
Cosine Transform ◽  
Biometric Template ◽  
Value Decomposition ◽  
Watermarking Scheme

A novel iris biometric watermarking scheme is proposed focusing on iris recognition instead of the traditional watermark for increasing the security of the digital products. The preprocess of iris image is to be done firstly, which generates the iris biometric template from person's eye images. And then the templates are to be on discrete cosine transform; the value of the discrete cosine is encoded to BCH error control coding. The host image is divided into four areas equally correspondingly. The BCH codes are embedded in the singular values of each host image's coefficients which are obtained through discrete cosine transform (DCT). Numerical results reveal that proposed method can extract the watermark effectively and illustrate its security and robustness.

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