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A new on-line signature verification algorithm using variable length segmentation and hidden markov models

Shafiei, M. M ; Sharif University of Technology | 2003

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  1. Type of Document: Article
  2. DOI: 10.1109/ICDAR.2003.1227706
  3. Publisher: IEEE Computer Society , 2003
  4. Abstract:
  5. In this paper, a new on-line handwritten signature verification system using Hidden Markov Model (HMM) is presented. The proposed system segments each signature based on its perceptually important points and then computes for each segment a number of features that are scale and displacement invariant. The resulted sequence is then used for training an HMM to achieve signature verification. Our database includes 622 genuine signatures and 1010 forgery signatures that were collected from a population of 69 human subjects. Our verification system has achieved a false acceptance rate (FAR) of 4% and a false rejection rate (FRR) of 12%. © 2003 IEEE
  6. Keywords:
  7. Algorithms ; Trellis codes ; Markov processes
  8. Source: 7th International Conference on Document Analysis and Recognition, ICDAR 2003, 3 August 2003 through 6 August 2003 ; Volume 2003-January , 2003 , Pages 443-446 ; 15205363 (ISSN); 0769519601 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/1227706