Staff Members - Benha University
Identification of Persons by Fingerprint Recognition and Verification using Minutiae Extraction Technique with Compression Technique
International Journal of Advanced Engineering and Nano Technology (IJAENT) • 2015
Publication Information
Authors
Ramy Ahmed Mohamed, Mahmoud Fathy Mahmoud, Hossam Labib Abdel Fattah Zayed
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)
Publisher
Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.
Volume
2
Issue
9
Pages
Not Available
publication.type
International
Paper Link
Open Link
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.
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.