Online fingerprint recognition

Khairul Bariyah, Abd Rahim (2010) Online fingerprint recognition. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang.


Download (3MB)


Fingerprints are the most popularly used in biometric identification and recognition systems, because they can be easily used and their features are highly reliable. Because of their uniqueness and consistency over time, fingerprint has been used for identification for over a century, more recently becoming automated due to advancements in computing capabilities. The systems are increasingly employed into business, trading and living fields for automatic personal identification. Besides that, fingerprint recognition beyond criminal identification applications to several civilian applications such as access control, time and attendance, and computer user login. This project introduces and implementation of an online fingerprint recognition system which is capable of verifying identities of people so fast, accurate and suitable for the real time. Such a system has great utility in a variety of personal identification and access control applications by operating in minutiae extraction and minutiae matching. Minutiae extraction algorithm is implemented for extracting features from an input fingerprint image captured with an online inkless scanner. For minutiae matching, the matching algorithm has been developed. This algorithm is capable of finding the correspondences between minutiae in the input image and store template. The system will be tested on set of fingerprint images captured with inkless scanner. The recognition accuracy is found to be acceptable. This result shows that our systems meet the response requirement of online recognition with high accuracy. All the systems will be built using MATLAB software

Item Type: Undergraduates Project Papers
Uncontrolled Keywords: Pattern recognition systems, Fingerprints -- Identification, Biometric identification
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Syed Mohd Faiz
Date Deposited: 03 Jan 2012 08:33
Last Modified: 03 Mar 2015 07:53
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item