Finger Vein Feature Extraction Based on Linear Weighting Function Immune Clone Algorithm
作者： Cheng-bo Yu , Zhao-min Zhou , Hong-bing Li , Yan-lin Li
DOI: 10.1109/WICOM.2010.5601028
关键词:
摘要: To solve the misjudgment of noise and vein information in features extraction from low quality images, a novel method based on LWF (Linear weighting function) immune-clone algorithm is proposed this paper. The can produce initial antibody by using adaptive threshold method, obtain function curve fitting, denoise enhance border linear area. affinity concentration antibodies helps to boost growth suppress interference noise. Simulation results show that compared other algorithms, finger pattern extracted paper more distinct accurate. In addition, algorithm, which effectively retain details information, especially suitable for images.
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