Using Low-Resolution Palmprint Images and Texture Analysis for Personal Identification
نویسندگان
چکیده
Biometrics identification is an emerging technology for solving security problems in our networked society. A new branch of biometric technology, palmprint recognition, whereby the lines and points can be extracted from our palm for personal identification was proposed several years ago [1-6]. In this paper, we implement the feature extraction technique applied to iris recognition [7] on low – resolution palmprint images. A 2-D Gabor filter is used to obtain the texture information and two palmprint images are compared in term of their hamming distance. The experimental results show that our method is effective.
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