Shalash, W., Abou-Chadi, F. (1999). AN IMPROVED FINGERPRINT CLASSIFICATION TECHNIQUE. test, 2(2nd International Conference on Electrical Engineering ICEENG 1999), 735-743. doi: 10.21608/iceeng.1999.62601
Wafaa M. Shalash; Fatma Abou-Chadi. "AN IMPROVED FINGERPRINT CLASSIFICATION TECHNIQUE". test, 2, 2nd International Conference on Electrical Engineering ICEENG 1999, 1999, 735-743. doi: 10.21608/iceeng.1999.62601
Shalash, W., Abou-Chadi, F. (1999). 'AN IMPROVED FINGERPRINT CLASSIFICATION TECHNIQUE', test, 2(2nd International Conference on Electrical Engineering ICEENG 1999), pp. 735-743. doi: 10.21608/iceeng.1999.62601
Shalash, W., Abou-Chadi, F. AN IMPROVED FINGERPRINT CLASSIFICATION TECHNIQUE. test, 1999; 2(2nd International Conference on Electrical Engineering ICEENG 1999): 735-743. doi: 10.21608/iceeng.1999.62601

AN IMPROVED FINGERPRINT CLASSIFICATION TECHNIQUE

The International Conference on Electrical Engineering
Article 72, Volume 2, 2nd International Conference on Electrical Engineering ICEENG 1999, November 1999, Pages 735-743    PDF (1.83 M)
Document Type: Original Article
DOI: 10.21608/iceeng.1999.62601
Authors
Wafaa M. Shalash1; Fatma Abou-Chadi2
1Scholarship student, Dept. of Electronics and Communications Engineering, Faculty of Engineering, Mansoura University, Egypt
2Professor, Dept. of Electronics and Communications Engineering, Faculty of Engineering, Mansoura University, Egypt
Abstract
This paper presents an automatic fingerprint classification technique similar to that reported in [2] but, an inverse filtering technique was introduced to restore the distorted parts of the images prior to the feature extraction stage. The results have shown that introducing the inverse filter stage has improved the percentage of correct classification. It reaches 97.5% compared to the 95% correct classification obtained using the previously reported technique.
Keywords
Fingerprint classification; Image processing; Neural networks classifiers; Bio metrics
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