A study on Chinese carbon-signature recognition

Sheng-Fuu Lin*, Yu Wei Chang, Chien Kun Su

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)257-280
Number of pages24
JournalJournal of Information Science and Engineering
Volume18
Issue number2
StatePublished - 1 Mar 2002

Keywords

  • Chain codes
  • Feature extraction
  • Lower profiles
  • Signature recognition
  • Upper profiles

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    Lin, S-F., Chang, Y. W., & Su, C. K. (2002). A study on Chinese carbon-signature recognition. Journal of Information Science and Engineering, 18(2), 257-280.