| 手背静脉图像分割及细化算法研究 |
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| 引用本文： | 蔡超峰,苏丹,闫艳霞,姜利英.手背静脉图像分割及细化算法研究[J].现代计算机,2014(6):76-80. |
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| 作者姓名： | 蔡超峰 苏丹 闫艳霞 姜利英 |
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| 作者单位： | 郑州轻工业学院电气信息工程学院．郑州450002 |
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| 基金项目： | 2011年河南省科技计划项目（No.112102210189）、郑州轻工业学院博士科研基金项目（No.2011BSJJ007） |
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| 摘 要： | 手背静脉识别技术通常基于静脉纹路的细节特征点对个人身份进行验证。为了准确地提取出手背静脉纹路中的细节特征点，提取手背静脉图像中的有效区域并对其进行归一化、增强和去噪处理．分别采用局部最大类间方差法（OSTU）、阈值图像法和NiBlack法对图像进行分割，分别采用Hilditch算法、快速细化算法、Zhang＆Suen算法和OPTA算法对分割后得到的二值图像进行细化以获取静脉纹路。实验结果表明，基于合理的参数，NiBlack法和Hilditch算法分别取得较好的分割与细化处理结果。
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| 关 键 词： | 手背静脉识别 图像分割 图像细化 |
Research on the Segmentation and Thinning Algorithms of Hand Vein Image |
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| CAI Chao-feng,SU Dan,YAN Yan-xia,JIANG Li-ying.Research on the Segmentation and Thinning Algorithms of Hand Vein Image[J].Modem Computer,2014(6):76-80. |
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| Authors: | CAI Chao-feng SU Dan YAN Yan-xia JIANG Li-ying |
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| Affiliation: | (College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002) |
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| Abstract: | Minutiae of hand vein skeleton are usually employed in personal identification recognition. To extract the minutiae of hand vein skeleton accurately, extracts and normalizes the effective area of hand vein image and enhances followed by noise reduction. Uses the OSTU method, Threshold Image method and NiBlack method to segment the image. Uses the Hilditch algorithm, Fast algorithm, Zhang＆Suen algorithm and OPTA algorithm to obtain the hand vein skeleton. The results indicate that, given reasonable parameters, the NiBlack method and the Hilditch algorithm do well in the hand vein segmentation and thinning, respectively. |
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| Keywords: | Hand Vein Recognition Image Segmentation Image Thinning |
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