Fingerprint Recognition Using a Hybrid of Minutiae- and Image-Based Matching Techniques

Chin, Renee Ka Yin and Jin, Fei Lim (2014) Fingerprint Recognition Using a Hybrid of Minutiae- and Image-Based Matching Techniques. International Journal of Simulation Systems, Science & Technology, 15. pp. 47-51. ISSN 1473-8031

[img] Text
Fingerprint Recognition Using a Hybrid of Minutiae- and Image-Based Matching Techniques .pdf

Download (37kB)
[img] Text
Fingerprint Recognition Using a Hybrid of Minutiae- and Image-Based Matching Techniques 1.pdf
Restricted to Registered users only

Download (326kB) | Request a copy

Abstract

Biometrics recognition has been one of the standout research areas in the past decades as the demand for security systems increases. Fingerprint recognition remains as a popular choice for the ease of acquiring such data and it is universally accepted as a feature that is unique to all individuals. One of the limitations of existing fingerprint recognition techniques is that the systems tend to fall short when the available fingerprint is of low quality. This work describes a hybrid method that improves the performance of fingerprint recognition technique by using a combination of minutiae-based and image-based techniques, extracting features from both techniques to compensate the limitations of each of them. Results show that the proposed hybrid method is capable of achieving better recognition rate. Further analyses indicate that the percentage of similarity score and the Euclidean distance computation are both improved.

Item Type: Article
Keyword: Fingerprint recognition , Biometric recognition system , Feature extraction
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
T Technology > T Technology (General) > T1-995 Technology (General)
Department: FACULTY > Faculty of Engineering
Depositing User: SITI AZIZAH BINTI IDRIS -
Date Deposited: 21 Jul 2022 11:59
Last Modified: 21 Jul 2022 11:59
URI: https://eprints.ums.edu.my/id/eprint/33440

Actions (login required)

View Item View Item