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Dr. Hossam Labib Abdel Fattah Zayed :: Publications: |
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| Title: | Identification of Persons by Fingerprint Recognition and Verification using Minutiae Extraction Technique with Compression Technique |
| Authors: | Ramy Ahmed Mohamed, Mahmoud Fathy Mahmoud, Hossam Labib Abdel Fattah Zayed |
| Year: | 2015 |
| Keywords: | Arithmetic code compression, Compression ratio, False matched ratio, False non matched ratio, Fingerprint recognition and verification, Huffman code compression, Matched score. |
| Journal: | International Journal of Advanced Engineering and Nano Technology (IJAENT) |
| Volume: | 2 |
| Issue: | 9 |
| Pages: | Not Available |
| Publisher: | Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. |
| Local/International: | International |
| Paper Link: | |
| Full paper | Hossam Labib Abdel Fattah Zayed_I0328082915.pdf |
| Supplementary materials | Not Available |
| Abstract: |
Fingerprint identification and recognition is one of the most common biometric features used for personal recognition. There are many techniques used for finding the features of the fingerprint to manage the way to make it more dependable when matching it with other images of fingerprints. In this paper, the minutiae extraction technique has been used for fingerprint recognition and verification. Two types of compression techniques (Huffman compression code and Arithmetic compression code) have been used to improve the problem of the large size of the storage space of the database used for fingerprint images. Huffman compression technique was the most accurate technique for compression of fingerprint images due to the resulting of thefactors of Compression Ratio (CR), Matched score (S), False Matching Ratio (FMR) and False Non Matching Ratio (FNMR), and that when the adaptive threshold has been used to improve the system. |
