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, Page 735-743 PDF (1.83 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.1999.62601 | ||||
 View on SCiNiTO | ||||
| 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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