Maan Ammar
Faculty of Computer Science and Information Technology, Applied Science University
Amman, Jordan-11931
ABSTRACT
In this paper, some known Artificial Intelligence(AI) and computer vision techniques are applied to the problem of recognizing the writer of an off-line signature(signatory) among many possible signatories. It is shown by practical examples that the way those techniques are used is very effective and may work efficiently even with a very large pictorial signature database.
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How to cite this article
Maan Ammar, 2003. Application of Artificial Intelligence and Computer Vision Techniques to Signatory Recognition. Information Technology Journal, 2: 44-51.
DOI: 10.3923/itj.2003.44.51
URL: https://scialert.net/abstract/?doi=itj.2003.44.51
DOI: 10.3923/itj.2003.44.51
URL: https://scialert.net/abstract/?doi=itj.2003.44.51
REFERENCES
- Ammar, M. and M.A. Musbah, 2002. A high efficiency method for automatic signature verification in I-C-I environment. Pak. J. Inform. Technol., 1: 160-172.
Direct Link - Ammar, M., 1991. Progrss in verification of skillfully simulated handwritten signatures. Int. J. Pattern Recogn. Artif. Intell., 5: 337-351.
Direct Link - Ammar, M., Y. Yoshida and T. Fukumura, 1990. Structural description and classification of signature images. Pattern Recogn., 23: 697-710.
CrossRefDirect Link - Ammar, M., Y. Yoshida and T. Fukumura, 1988. Off-line preprocessing and verification of signatures. Int. J. Pattern Recogn. Artif. Intell., 2: 589-602.
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David onietan k Reply
pls I engaged in a project work on this topic. but was reframed by my lecturer `development of a signature recognition system using computer vision techniques and artificial intelligence.` pls do you have more materials on this topic. I have searched the web but can`t find suitable materials.
thanks