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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/15394
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| Title: | Fingerprint Verification Based on Statistical Analysis |
| Authors: | M. S. Khalil
D. Muhammad
Muhammad Khurram Khan
Khaled Alghathbar
Khaled Alghathbar |
| Keywords: | Analyzed, biometric-fingerprint |
| Issue Date: | 2010 |
| Abstract: | In this paper, we have statistically analyzed biometric-fingerprint images for personal identification. A sub-image of 129 × 129 was extracted from the original image and transformed into a co-occurrence matrix. Four different type of relative position distances were used to generate the matrices. The results have been analyzed by the Program for Rate Estimation and Statistical Summaries (PRESS). The efficiency of the proposed method has been demonstrated by the experimental results and that the further the distances of the relative position the lower the error equal rate. |
| URI: | http://hdl.handle.net/123456789/15394 |
| Appears in Collections: | College of Computer and Information Sciences
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