Signature Verification Using Handwriting Friction Force
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摘要: 由于动态测量坐标系的存在, 使得数字笔在不同的握笔姿态下, 引起书写平面内摩擦力的分解不同. 由此本文提出采用书写摩擦力进行在线签名识别. 该方法将摩擦力的方向在直角坐标系内进行特征量表示, 并与三维书写力的大小相结合, 实现概率值和距离测度信度级的融合. 在进行真假签名的判别中, 加入快速剔除的方法, 进行两级判别, 以提高识别效率. 实验结果表明, 基于签名书写力大小和方向特征的融合识别方法互相补充, 相对于单个方法具有更高的识别率, 系统性能得到显著改善.Abstract: Dynamic coordinates exist in handwriting input equipment of the digital pen. Consequently, various holding gestures of the digital pen lead to different decomposition ways of friction force. An approach using handwriting friction force for online signature verification is presented. The feature representation of friction direction is described in Cartesian coordinates. A novel system combines the extracted signature features with the characteristic of force magnitude to realize fusion of distance measures and probability. A quickly removed method is applied to the proposed system to improve the recognition efficiency. Two-stage discrimination is executed in distinguishing true and false signatures. Experiment result explores that fusion of handwriting force magnitude and direction for signature verification is shown to give complementary recognition information. As opposed to a single method, the fusion approach has a much higher recognition rate.
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Key words:
- Handwriting force /
- signature verification /
- feature fusion /
- hidden Markov model
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[1] Fang P, Wu Z C, Meng M, Ge Y J, Yu Y. A novel tablet for on-line handwriting signal capture. In: Proceedings of the 5th World Congress on Intelligent Control and Automation. Hangzhou, China: IEEE, 2004. 3714-3717[2] Crane H D, Ostrem J S. Automatic signature verification using a three-axis force-sensitive pen. IEEE Transactions on Systems, Man, and Cybernetics, 1983, 13(3): 329-337[3] Diddens D, Reynaerts D, Brussel H V. Design of a ring-shaped three-axis micro force/torque sensor. Sensors and Actuators A: Physical, 1995, 46(1-3): 225-232 [4] Shimizu H, Kiyono S, Motoki T, Gao W. An electrical pen for signature verification using a two-dimensional optical angle sensor. Sensors and Actuators A: Physical, 2004, 111(2-3): 216-221[5] Kikuchi M, Akamatsu N. Development of speedy and high sensitive pen system for writing pressure and writer identification. In: Proceedings of the 6th International Conference on Document Analysis and Recognition. Washington D. C., USA: IEEE, 2001. 1040-1044[6] Liu Yang, Jia Hai-Tao, Cao Li. Dynamic handwriting feature acquisition system design. Chinese Journal of Scientific Instrument, 2005, 26(8): 526-528(刘扬, 贾海涛, 曹丽. 手写动态特征采集系统的设计. 仪器仪表学报, 2005, 26(8): 526-528)[7] Sayeed S, Kamel N S, Besar R. Virtual reality based dynamic signature verification using data glove. In: Proceedings of the International Conference on Intelligent and Advanced Systems. Kuala Lumpur, Malaysia: IEEE, 2007. 1260-1264[8] Kamel N S, Sayeed S, Ellis G A. Glove-based approach to online signature verification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(6): 1109-1113[9] Wang D X, Zhang Y R, Yao C, Wu J, Jiao H M, Liu M L. Toward force-based signature verification: a pen-type sensor and preliminary validation. IEEE Transactions on Instrumentation and Measurement, 2010, 59(4): 752-762 [10] Fang P, Wu Z C, Shen F, Ge Y J, Fang B. Improved DTW algorithm for online signature verification based on writing forces. Lecture Notes in Computer Science. Berlin: Springer, 2005. 631-640[11] Jiao H M, Wang D X, Zhang Y R. Different role of friction and normal force for force-based signature verification. In: Proceedings of the 2nd International Congress on Image and Signal Processing. Tianjin, China: IEEE, 2009. 1-5[12] Impedovo D, Pirlo G. Automatic signature verification: the state of the art. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2008, 38(5): 609-635[13] Fierrez-Aguilar J, Krawczyk S, Ortega-Garcia J, Jain A K. Fusion of local and regional approaches for on-line signature verification. Advances in Biometric Person Authentication and Lecture Notes in Computer Science. Berlin: Springer, 2005. 188-196[14] Hu L, Wang Y H. On-line signature verification based on fusion of global and local information. In: Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition. Beijing, China: IEEE, 2007. 1192-1196[15] Alonso-Fernandez F, Fierrez-Aguilar J, Ortega-Garcia J. Sensor interoperability and fusion in signature verification: a case study using tablet PC. Advances in Biometric Person Authentication and Lecture Notes in Computer Science. Berlin: Springer, 2005. 180-187[16] Nyssen E, Sahli H, Zhang K. A multi-stage online signature verification system. Pattern Analysis and Applications, 2002, 5(3): 288-295[17] Yang L, Widjaja B K, Prasad R. Application of hidden Markov models for signature verification. Pattern Recognition, 1995, 28(2): 161-170[18] Jain A, Nandakumar K, Ross A. Score normalization in multimodal biometric systems. Pattern Recognition, 2005, 38(12): 2270-2285[19] Kittler J, Hatef M, Duin R P W, Matas J. On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(3): 226-239[20] Fierrez J, Ortega-Garcia J, Ramos D, Gonzalez-Rodriguez J. HMM-based on-line signature verification: feature extraction and signature modeling. Pattern Recognition Letters, 2007, 28(16): 2325-2334[21] Yeung D Y, Chang H, Xiong Y, George S, Kashi R, Matsumoto T, Rigoll G. SVC2004: first international signature verification competition. Biometric Authentication and Lecture Notes in Computer Science. Berlin: Springer, 2004. 1-30[22] Bao L V, Garcia-Salicetti S, Dorizzi B. On using the Viterbi path along with HMM likelihood information for online signature verification. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2007, 37(5): 1237-1247[23] Meng Ming. Online Signature Verification Based on Force Information [Ph. D. dissertation], University of Science and Technology of China, China, 2006(孟明. 基于力信息的在线签名认证研究 [博士学位论文], 中国科学技术大学, 中国, 2006)[24] Zhao Li. Speech Signal Processing. Beijing: China Machine Press, 2005(赵力. 语音信号处理. 北京: 机械工业出版社, 2005)
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