Extraction Method for Non-contact Finger Phalangeal Prints
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    Abstract:

    Finger phalangeal prints become one of the authentication methods due to its uniqueness. Existing literatures are mainly based on the principle of wavelet multi-resolution analysis to extract the finger phalangeal prints distribution information. But the paper presents a detection method for the relationship between the relative positions of finger phalangeal prints. For self-built gallery of thumb outwardly open, four fingers closed hand images, the first step is to find out the fingertips and finger valley points by using the Step edge detection pretreatment methods. Then the whole image is rotated to a horizontal position in order to compare the relative positions of finger phalangeal prints. Finally, we can find out the horizontal coordinate position of finger phalangeal prints in four fingers except the thumb by using the Roof edge detection method. In order to verify the proposed method, the use of self-built small natural gallery display test results showed that the extraction rate is up to 98.035%, indicating that the method is feasible and effective.

    Reference
    1 Jain AK, Ross A, Prabhakar S. An introduction to biometric recognition. IEEE Trans. on Circuits and Systems for Video Technology, 2004, 14(1): 4-20.
    2 Takeda M, Uchida S, Hiramatsu K, Matsunami T. Finger image identification method for personal verification. Proc. of the 10th International Conference on Pattern Recognition. Atlantic, USA. IEEE. 1990. 761-766.
    3 罗荣芳,林土胜,吴霆.基于人体手指指节折痕的身份识别方法.光电工程,2007,34(6):116-121.
    4 罗荣芳,林土胜.基于投影和小波分析的手指指节折痕纹识别算法.计算机工程,2008,34(5):216-218.
    5 李强,裘正定,孙冬梅,等.指横纹:一种新的生物身份特征.自动化学报,2007,33(6):596-601.
    6 竺乐庆,张三元,幸锐.基于指节纹的个人身份自动识别.自动化学报,2009,35(7):875-881.
    7 毛贤光,赖晓铮,赖声礼,等.基于小波多分辨率分析的指横纹定位新算法.计算机研究与发展,2009,46(4):629-636.
    8 苑玮琦,董康.非接触式掌纹图像采集装置的研究.微型机与应用,2010,1:15-19.
    9 磨少清,刘正光,张军,等.基于图像自身信息的图像边缘检测阈值自动设定方法.光电子激光,2011,(8):1246-1250.
    10 苑玮琦,董茜,桑海峰.基于方向梯度极值的手形轮廓跟踪算法.光学精密工程,2010,18(7):1675-1683.
    11 苑玮琦,王楠.基于局部灰度极小值的掌脉图像分割方法.光电子激光,2011,22(7):1091-1096.
    12 Gu J, Zhou J, Yang C. Fingerprint Recognition by Combining Global Structure and Local Cues. IEEE Trans. on Image Processing, 2006, 15(7): 1952-1964.
    13 Zhang L, Zhang L, Zhang D. Finger-knuckle-print verification based on band-limited phase-only correlation. Computer Analysis of Image and Patterns. 2009, 5702: 141-148.
    14 Maio D, Mltoni D, CppeLLi R, Wayman JL, Jain A. FVC2000: fingerprint Verification Competition. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2002, 24(3): 402-412.
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苑玮琦,咸阳.非接触成像手指节纹检测算法.计算机系统应用,2014,23(8):144-149

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History
  • Received:December 16,2013
  • Revised:March 03,2014
  • Online: August 18,2014
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