JISE

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Journal of Information Science and Engineering, Vol. 18 No. 2, pp. 341-344

Remarks on Using RSA With Low Exponent in a Public Network

Wei-Hua He, Tzong-Chen Wu^* and Chih-Yin Lin^**
Department of Information Management
Chaoyang University of Technology
Taichung, 413 Taiwan
E-mail: whhe@mail.cyut.edu.tw
^*Department of Information Management
National Taiwan University of Science and Technology
Taipei, 106 Taiwan
E-mail: tcwu@cs.ntust.edu.tw
^**Institute of Information Management
National Chiao Tung University
Hsinchu, 300 Taiwan
E-mail: u8534502@cc.ncu.edu.tw

A novel off-line algorithm and a modified chain code for recognizing signatures are proposed in the present study. Carbon paper is used to detect force distributions when people write their signatures. First of all, the signature contours are located and the upper and lower profiles are generated; then, these are used to classify the given signature. Both the gray-scale and the chain code characteristics of a signature are used to extract structure and force distribution features, which are then transformed into a normalized vector. Finally, a Supervised Fuzzy Adaptive Hamming Network (SFAHN) is employed to interpret the feature vector in order to determine whether the signature is genuine or not. Simulation results show that the proposed algorithm has a good recognition rate.

Keywords: ignature recognition, upper profiles, lower profiles, chain codes, feature extraction

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