期刊文献+

基于特殊点的DTW在线手写签名认证算法

DTW Online Handwritten Signature Verification Algorithm Based on Special Points
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摘要 针对传统动态时间规正算法速度较慢的缺点,提出基于特殊点的动态时间规正在线手写签名认证算法。特殊点包含了丰富的签名信息,表现了签名者的基本生物特征。该算法缩短了身份认证的时间,提高了身份认证的效率。实验结果表明,该方法速度快、识别率高,进而证明在线手写签名在身份认证中具有很好的应用前景。 Against the disadvantages of classic DTW low speed on verification, proposes an online handwritten signature verification algorithm based on DTW using special data points. The special data points can contain a number of information about signature characteristics, and these information may reveal basic characteristics of the signatory. This algorithm rapidly shortens verification time while the target of verification is similar to that of classic DTW using the whole data points. The result of experiment proves that this algorithm obtains a good verification effect. It is suitable to use online handwritten signature as a method of identity verification.
出处 《现代计算机》 2008年第11期12-14,共3页 Modern Computer
基金 辽宁省自然科学基金项目(No.20072009)
关键词 模式识别 动态时间规正(DTW) 在线手写签名身份认证 时间序列 Pattern Recognition Dynamic Time Warping(DTW), Online Handwritten Signature Verification Time Series
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参考文献5

  • 1Andrew Senior. A Combination Fingerprint Classifier [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 10(23): 1165-1174.
  • 2李辉,陈锐,侯义斌,黄樟钦,张勇.基于复合特征向量提取的隐马尔可夫实时人脸识别算法[J].小型微型计算机系统,2008,29(2):329-332. 被引量:2
  • 3Kwon, Soonil, Narayanan, et al. Unsupervised Speaker Indexing Using Generic Models [J]. IEEE Transactions on Speech and Audio Processing, 2005, 13(5): 1004-1013.
  • 4栾方军,马驷良,程开东,董险峰.基于笔划匹配的在线手写签名身份认证算法[J].沈阳建筑大学学报(自然科学版),2005,21(5):568-572. 被引量:5
  • 5G.Dimauro, S.Impedovo, R.Modugno, G.Pirlo, L.Sarcinella. Analysis of Stability in Hand-Written Dynamic Signatures [C]. Workshop on Frontiers in Handwriting Recognition, Ontario, 2002:259-263.

二级参考文献26

  • 1Anoop M, Namboodiri, Shailesh Saini, et al. Skilled Forgery Detection in on-line signatures: A Multi modal Approach [ C]. Hong Kong: ICBA, 2004. 505 -511.
  • 2Jakob Stemby. on-line signature Verification by Explicit Solution to the Point Correspondence Problem [C]. Hong Kong: ICBA, 2004. 569 - 576.
  • 3Seiichiro Hangai, Shinji Yamanaka, Takayuki Hamamoto. On-line Signature Verification Based On Altitude And Direction Of Pen Movement [ C ]. New York: IEEE Interational Conference on Multimedia and Expo, 2000. 489 - 492.
  • 4Masato Kawamoto, Takayuki Hamamoto, Seiichiro Hangai. Improvement of On-line Signature Verification System Robust to Intersession Variability [ C]. Japan: Biometric Authentication, 2002. 168 - 175.
  • 5Andrea Vergara da Silva, Daniel Santana de Freitas. Wavelet-based Compared to Function-based On-line Signature Verification [ C]. Brazil: SIBGRAPI, 2002.218 - 225.
  • 6Morita H, Sakamoto D, Ohishi T, et al. On-line signa ture Verifier Incorporating Pen Position, Pen Pressure, and Pen Inclination Trajectories[ C]. Halmstad, Sweden: AVBPA, 2001. 318 - 323.
  • 7Kiran G V, Srinivasa Rao Kunte R, Sudhaker Samuel. On-line signature verification system using probabilistic feature modeling[ C]. Kuala: ISSPA, 2001. 355 -358.
  • 8Bertor R, Poggio T. Face recognition feature versus templates [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1993,15(10) :1042-1052.
  • 9http ://www2. sigensrfr/-cappe/docs/hmmbib. html.
  • 10Samar I A F. Face recognition using Hidden Markova Models [D]. PhD thesis. University of Cambridge,UK,1994.

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