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The comparative study of canny filter and morphological operator in fingerprint recognition

Ab Sinusi, Abdulgader (2014) The comparative study of canny filter and morphological operator in fingerprint recognition. Masters thesis, Universiti Tun Hussein Onn Malaysia.


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Fingerprint verification is one of the most reliable personal identification methods and it plays an important role in commercial and forensic applications. Designing a recognition system that will increase the accuracy is required. This thesis proposed a fingerprint recognition system using canny filter and morphological operator through path analysis test case. Steps involved in the recognition system include; image acquisition, pre-processing, features extraction and matching. Fast fourier transform is used to enhance the quality of the images and the features extracted efficiently to determine the minutia points in fingerprints with morphological operation, and the distribution of grey level co-occurrence matrix (GLCM) with canny filter. The proposed morphological operation determined the bifurcation, termination of the ridges and valleys, and their corresponding angles, and Euclidean distance was used for matching. On the other hand, features such as energy, homogeneity, entropy and correlation were extracted after canny filter was applied and again, Euclidean distance was used for matching. The experimental results showed the accuracy of the proposed methods through path analysis cases, and their performances were compared for their success rate, false accepted rate and false rejected rate. The overall success of the system under morphological algorithm was 99.70% with 0.15% false accepted rate and 0.30% false rejection rate. On the other hand, the overall accuracy obtained for GLCM, canny filter was 99.85% success rate with 0.15% false accepted rate and 0.15% false rejection rate. From the obtained results, it can be concluded that GLCM-canny filter overcame the morphological operation in obtaining high accuracy.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA75 Calculating machines > QA75.5 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Depositing User: Normajihan Abd. Rahman
Date Deposited: 11 Dec 2014 06:52
Last Modified: 11 Dec 2014 06:52
URI: http://eprints.uthm.edu.my/id/eprint/6144
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