计算机科学 ›› 2015, Vol. 42 ›› Issue (6): 317-321.doi: 10.11896/j.issn.1002-137X.2015.06.067
• 图形图像与模式识别 • 上一篇
赵志刚,吴鑫,张维忠,赵毅,洪丹枫,潘振宽
ZHAO Zhi-gang, WU Xin, ZHANG Wei-zhong, ZHAO Yi, HONG Dan-feng and PAN Zhen-kuan
摘要: 掌纹纹线特征是掌纹最有效的特征。由于在采集掌纹时不可避免地会产生尺度不一致、细微的旋转或平移等问题,使得准确地提取以及描述纹线特征成为掌纹识别的一大难点。针对这一问题,提出了一种融合水平梯度与局部信息强度的掌纹识别算法(Horizontal Gradient-Local Information Intensity,HG-LII)。首先,使用不同的均值滤波模板消除细小、不规则、不稳定的掌纹纹线特征,对处理后的图像使用水平梯度算子得到水平方向的梯度图像,并进行二值化;其次使用分块思想计算掌纹纹线的信息强度,并将其作为特征向量;最后采用卡方距离进行匹配,判断掌纹所属类别。在PolyU掌纹库上的实验结果表明,该算法识别率达到99.89%,与传统的提取纹线算法相比,识别率有明显的提高,表明了该算法的有效性。
[1] 毛元,冯桂,汤继生.采用八方向Gabor滤波的指纹识别算法[J].华侨大学学报:自然科学版,2013,4(2):151-155 Mao Yuan,Feng Gui,Tang Ji-sheng.Fingerprint recognition algorithm based on the eight directions Gabor filter[J].Journal of Huaqiao University:Natural Science,2013,34(2):151-155 [2] 郑智强,郑建德,高媛.基于自适应遗传算法的残缺指纹识别[J].现代电子技术,2013,6(10):83-86Zheng Zhi-qiang,Zheng Jian-de,Gao Yuan.Fragmentary finger-print matching based on adaptive generic algorithm[J].Modern Electronics Technique,2013,6(10):83-86 [3] Zuo Wang-meng,Yue Feng,Zhang Da-peng.On accurate orientation extraction and appropriate distance measure for low-resolution palmprint recognition[J].Pattern Recognition,2011,44(4):964-972 [4] Guo Jin-yu,Liu Yu-qin,Yuan Wei-qi.Palmprint RecognitionUsing Local Information from a Single Image Per Person[J].Journal of Computational Information Systems,2012,8(8):3199-3206 [5] 张建新,欧宗瑛.基于Log-Gabor 小波相位一致的掌纹线特征提取[J].光电子·激光,2008,9(5):703-707 Zhang Jian-xin,Ou Zong-ying.Palm-line feature extraction using Log-Gabor wavelet and phase congruency[J].Joural of Optoelectronics·Laser,2008,9(5):703-707 [6] Wei Jia,Huang De-shuang,Zhang D.Palmprint verificationbased on robust line orientation code[J].Pattern Recognition,2008,1(5):1504-1513 [7] Wu X Q,Wang K Q,Zhang D.A novel approach of palm-line extraction[C]∥Proceedings of the 3rd International Conference on Image and Graphics.Washington D C,USA:IEEE,2004:230-233 [8] 李文新,夏胜雄,张大鹏,等.基于主线特征的双向匹配的掌纹识别新方法[J].计算机研究与发展,2004,41(6):996-1002 Li Wen-xin,Xia Sheng-xiong,Zhang Da-peng,et al.A new palmprint identification method using bidirectional matching based on major line features[J].Journal of Computer Research and Development,2004,1(6):996-1002 [9] 袁国武,徐丹,魏晓勇.基于边缘检测的掌纹识别算法[C]∥第二届全国几何设计与计算学术会议.2005:299-304 Yuan Guo-wu,Xu Dan,Wei Xiao-yong.An Algorithm for Palmprint Recognition Based on Edge Detection[C]∥Proc.of 2th CSIAM Geometric Design & Computing 2005.Hefei,Anhui,China,2005:299-304 [10] 雷莉.掌纹识别算法研究[D].西安:陕西师范大学,2012 Lei Li.Palmprint Recognition Algorithm[D].Xi’an Shanxi Normal University,2012 [11] 潘新,阮秋琦,王艳霞,等.基于Gabor局部相对特征的掌纹识别[J].计算机工程与应用,2012,8(15):34-38 Pan Xin,Ruan Qiu-qi,Wang Yan-xia,et al.Palmprint recognition using Gabor local relative features[J].Computer Engineering and Applications,2012,48(15):34-38 [12] Guo Zhen-hua,Zhang Lei,Zhang D,et al.Hierarchical Multi-scale LBP for Face and Palmprint Recogniton[C]∥International Conference on Image Processing(ICIP).Hong Kong,China,2010:4521-4524 [13] 林森,苑玮琦,吴微,等.基于离散余弦变换和主线分块能量的模糊掌纹识别[J].光电子·激光,2012,3(11):2200-2206 Lin Sen,Yuan Wei-qi,Wu Wei,et al.Blurred palmprint recognition based on DCT and block energy of principal lines[J].Journal of Optoelectronics·Lase,2012,3(11):2200-2206 [14] 桑庆兵,苏媛媛,李朝锋,等.基于梯度结构相似度的无参考模糊图像质量评价[J].光电子·激光,2013,4(3):573-577 Sang Qing-bing,Su Yuan-yuan,Li Chao-fen.et al.No-reference blur image quality assemssment based on gradient[J].Journal of Optoelectronics·Lase,2013,4(3):573-577 [15] 李凯,张淑芳,吕卫,等.基于TV准则的图像分块重构算法的研究[J].计算机工程与应用,2012,48(26):192-196 Li Kai,Zhang Shu-fang,Lv Wei,et al.Image blocking reconstruction method based on TV-norm[J].Computer Engineering and Application,2012,48(26):192-196 [16] Lopez-Molina C,De Baets B,Bustince H.Generating fuzzy edge images from gradient magnitudes[J].Computer Vision and Image Understanding,2011,11(115):1571-1580 [17] Li Yi-yue,Wang Ren-huang,Zhu Ying.Texture characteristics image recognition based on improved gradient algorithm[J].Image Processing and Multimedia Technology,2012,1(19):42-44 |
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