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	a compact finger-vein recognition system based on infrared imaging
	Si Di; Jian Jin
	2017
会议日期	2017
会议地点	北京
英文摘要	Finger-vein identification has become the most popular biometric identify methods. The investigation on the identification algorithms always is the key point in this field. So far, there are many applicable algorithms have been developed. However, there are still some problems in practice, such as the variance of the finger position which may lead to the image distortion and shifting; during the identification process, some matching parameters determined according to experience may also reduce the adaptability of algorithm. Focus on above mentioned problems, this paper proposes an improved finger-vein identification algorithm based on template matching. In order to enhance the robustness of the algorithm for the image distortion, the least squares error method is adopted to correct the oblique finger. During the feature extraction, local adaptive threshold method is adopted. As regard as the matching scores, we optimized the translation preferences as well as matching distance between the input images and register images on the basis of Naoto Miura algorithm. Experimental results indicate that the proposed method can improve the robustness effectively under the finger shifting and rotation conditions.
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/11552]
专题	深圳先进技术研究院_南沙所
作者单位	2017
推荐引用方式 GB/T 7714	Si Di,Jian Jin. a compact finger-vein recognition system based on infrared imaging[C]. 见:. 北京. 2017.

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