Finger-vein image separation algorithms and realization with MATLAB

Xiaoyan Gao; Junshan Ma; Jiajie Wu

doi:10.1117/12.864117

11 October 2010 Finger-vein image separation algorithms and realization with MATLAB

Xiaoyan Gao, Junshan Ma, Jiajie Wu

Proceedings Volume 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 76562A (2010) https://doi.org/10.1117/12.864117
Event: 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2010, Dalian, China

Abstract

According to the characteristics of the finger-vein image, we adopted a series of methods to enhance the contrast of the image in order to separate the finger-vein areas from the background areas, and made prepare for the subsequent research such as feature extraction and recognition processing . The method consists of three steps: denoising, contrast enhancement and image binarization. In denoising, considering the relationship between gray levels in the adjacent areas of the finger-vein image, we adopted the Gradient Inverse Weighted Smoothing method. In contrast enhancement, we improved the conventional High Frequency Stress Filtering method and adopted a method which combined the traditional High Frequency Stress Filtering algorithm together with the Histogram Equalization. With this method, the contrast of the finger-vein area and the background area has been enhanced significantly. During the binarization process, after taking the differences of the gray levels between the different areas of the finger-vein image into consideration, we proposed a method which combined the binarization by dividing the image into several segments and the Morphological Image Processing means. Our experiment results show that after a series of processing mentioned above by using MATLAB, the finger-vein areas can be separated from the background areas obviously. We can get a vivid figure of the finger-vein which provided some references for the following research such as finger-vein image feature extraction, matching and identification.

Citation Download Citation

Xiaoyan Gao, Junshan Ma, and Jiajie Wu "Finger-vein image separation algorithms and realization with MATLAB", Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 76562A (11 October 2010); https://doi.org/10.1117/12.864117

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KEYWORDS

Image processing

Image enhancement

Image filtering

MATLAB

Image contrast enhancement

Denoising

Image segmentation

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