期刊文献+

一种基于频谱分析的指纹纹线距离估计方法

A method based on spectral analysis for fingerprint ridge distance estimation
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摘要 纹线距离是指纹图像纹理结构的本质属性之一,在自动指纹识别中有着重要的应用.已经有人对指纹纹线距离问题进行了研究,但至今尚未形成较为完善的解决方法.采用基于大窗口的频谱分析方法实现了对指纹纹线距离的估计.在FVC2 0 0 0及FVC2 0 0 2部分典型图像上的实验结果验证了本文方法的有效性和鲁棒性. The ridge distance of fingerprints, which is an intrinsic texture property of a fingerprint mage, plays an important role in the automated fingerprint identification. Some researchers have already studied this problem, but so far no satisfying solution has been found. A deep research on the problem was done and the estimation of ridge distance of fingerprint based on spectrum analysis with big window was implemented. Experimental results on some typical fingerprint images from FVC2000 and FVC2002 indicate that this method is effective and robust.
出处 《山东大学学报(理学版)》 CAS CSCD 北大核心 2005年第2期72-78,共7页 Journal of Shandong University(Natural Science)
基金 山东省自然科学基金重点项目资助 (Z2 0 0 4G0 5 ) 山东大学青年基金资助项目 (2 0 0 3 -2 0 0 4)
关键词 指纹 指纹识别 纹线距离 频谱分析 fingerprint fingerprint identification ridge distance spectral analysis
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参考文献9

  • 1尹义龙,宁新宝,张晓梅.自动指纹识别技术的发展与应用[J].南京大学学报(自然科学版),2002,38(1):29-35. 被引量:76
  • 2尹义龙,詹小四,谭台哲,宁新宝.基于加博函数的指纹增强算法及其应用[J].软件学报,2003,14(3):484-489. 被引量:46
  • 3D C Douglas Hung. Enhancement feature purification of fingerprint images[J]. Pattern Recognition, 1993, 26(11): 1661-1671.
  • 4陈蕴,尹义龙,张晓梅,詹小四.一种基于统计窗的纹线距离估计方法[J].中国图象图形学报(A辑),2003,8(3):266-270. 被引量:6
  • 5Yi-Long Yin, Xiao-Si Zhan, Tai-Zhe Tan, et al. A statistical method for ridge distance estimation in fingerprint images[A]. Proceedings of International Conference on Intelligent Information Technology[C]. Beijing:Posts & Teleconi Press, 2002, 205-210
  • 6L Hong, Y Wan, A K Jain. Fingerprint image enhancement: algorithm and performance evaluation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(8): 777-789.
  • 7Z M Kovacs-Vajna, R Rovatti, M Frazzoni. Fingerprint ridge distance computation methodologies[J]. Pattern Recognition, 2000, 33(4): 69-80.
  • 8D Maio, D Maltoni. Ridge-line density estimation in digital images[A]. Proceedings of 14th International Conference on Pattern Recognition[C].Cuyahoga Falls, USA: Hindawi publishing Corporation, 1998. 534-538.
  • 9J Berson. Dynamic thresholding of grey-level images[A]. Proceedings of 8th International Conference on Pattern Recognition[C]. Cuyahoga Falls, USA: Hindawi publishing Corporation, 1986,1251-1255.

二级参考文献25

  • 1Clarke R. Human identification in information systems: Management challenges and publit policy issues.Information Technology and People, 1994, 7(4 ) : 6-37.
  • 2Davies S G. Touching big brother:How biometric technology will fuse flesh and machine. Information Technology and People, 1994, 7(4):60-69.
  • 3Campbell J,Alyea J L, Dunn J. Biometric security:Government applications and operations, http://www.vitro.bloomington.in. us:8080/~BC/, 1996.
  • 4Miller B. Vital signs of identity. IEEE Spectrum, 1994, 31(2) :22-30.
  • 5Newham E, The biometric report. New York: SJB ,Services. 1995.
  • 6Arnit Y, Gernea D. A computational model for visual Selection. Neural Comp. 1999, 11:1691-1715.
  • 7Daugman j G. High confidence visual recognition of persons by a test of statistical independence. IEEE Trans Pattern .Anal and Machine Intell, 1993, 15(11):1148-1161.
  • 8Campbell Jr J. Speaker recognition: A tutorial. Proceedings of IEEE, 1997, 85(9):1437-1462.
  • 9Nalwa V. Automatic online signature verification. Proceedings of IEEE. 1997, 85(2) :213 -239.
  • 10TRS. Technology Recognition systems homepage:http://www.betac.com/trs/.

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