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新的指纹纹理区域分割算法
引用本文:吉祥,韩军伟,陈大海,郭雷. 新的指纹纹理区域分割算法[J]. 吉林大学学报(工学版), 2012, 42(6): 1538-1542
作者姓名:吉祥  韩军伟  陈大海  郭雷
作者单位:1. 西北工业大学自动化学院,西安,710129
2. 空军导弹研究院,洛阳,471009
基金项目:国家自然科学基金项目(61005018);西北工业大学研究生创业种子基金项目(Z2012111);西北工业大学基础研究基金项目(NPU-FFR-JC20104);教育部新世纪优秀人才支持计划项目(NCET-10-0079)
摘    要:首先对指纹图像进行归一化处理。然后,以脊线方向和与其垂直方向的灰度差值为依据来进行指纹纹理区域的分割。最后,对分割模板进行平滑处理和开运算,提取纹理区域。与5种分割算法的对比结果显示:本文提出的算法快速有效,并且能够很好地去除指纹采集器的边框和噪声等非纹理区域。将分割算法加入匹配实验中,结果表明:本文方法可以有效地提高指纹自动识别系统的性能。

关 键 词:计算机应用  指纹识别  指纹分割  方向场  灰度差

Novel fingerprint texture area segmentation algorithm
JI Xiang,HAN Jun-wei,CHEN Da-hai,GUO Lei. Novel fingerprint texture area segmentation algorithm[J]. Journal of Jilin University:Eng and Technol Ed, 2012, 42(6): 1538-1542
Authors:JI Xiang  HAN Jun-wei  CHEN Da-hai  GUO Lei
Affiliation:1(1.School of Automation,Northwestern Polytechnical University,Xi’an 710129,China;2.China Airborne Missile Academy,Luoyang 471009,China)
Abstract:A novel method of fingerprint texture area segmentation is proposed.First,fingerprint image is normalized.Then,intensity difference between the ridge line and the vertical direction is computed as the basis to implement region segmentation.Finally,smoothing and open operation are used on the segmented template which can extract the texture area.Results of comparison with other five algorithms show that the proposed algorithm is fast and effective.It can remove the border of the fingerprint scanner,the background noise and other non-texture regions very well.The match experiment,which adds the segmentation method to the match algorithm,shows that this algorithm can also effectively improve the performance of Automated Fingerprint Identification System(AFIS).
Keywords:computer application  fingerprint verification  fingerprint segmentation  orientation field  gray difference
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