Identification of Persons by Fingerprint Recognition and Verification using Minutiae Extraction Technique with Compression Technique
Ramy Ahmed Mohamed1, Mahmoud Fathy Mahmoud2, Hossam Labib Abdel Fattah Zayed3
1Ramy Ahmed Mohamed, Department of Electrical Engineering University of Benha, Faculty of Engineering, Benha, Egypt.
2Mahmoud Fathy Mahmoud, Associate Professor, Department of Electrical Engineering, University of Benha, Faculty of Engineering, Benha, Egypt.
3Dr. Hossam Labib Abdel Fattah Zayed, Department of Electrical Engineering, University of Benha, Faculty of Engineering, Benha, Egypt.
Manuscript received on August 01, 2015. | Revised Manuscript received on August 15, 2015. | Manuscript published on August 31, 2015. | PP: 1-5 | Volume-2 Issue-9, August 2015. | Retrieval Number: I0328082915
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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 the factors 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.
Keywords: Arithmetic code compression, Compression ratio, False matched ratio, False non matched ratio, Fingerprint recognition and verification, Huffman code compression, Matched score.