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	An improved finger-vein recognition algorithm based ontemplate matching
	Yueyue Liu; Si Di; Jian Jin; Daoping Huang
	2016
会议名称	International Symposium on Optoelectronic Technology and Application 2016 (OTA16)
会议日期	2016
会议地点	Beijing，China
英文摘要	Finger-vein recognition has became the most popular biometric identify methods. The investigation on the recognition 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 recognition 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.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/9777]
专题	深圳先进技术研究院_南沙所
作者单位	2016
推荐引用方式 GB/T 7714	Yueyue Liu,Si Di,Jian Jin,et al. An improved finger-vein recognition algorithm based ontemplate matching[C]. 见:International Symposium on Optoelectronic Technology and Application 2016 (OTA16). Beijing，China. 2016.

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