Fingerprint Enhancement Algorithm for Access Control Identification, is an emerging system that provides good and efficient service for access thought out. It plays a very important feature in providing access anywhere in the world. There are so many issues around it and solutions have been implemented but failed. This is because of the interruptions on the system which are due to the over ink, dry skin, cut, bruises, and fingerprint misalignments. As a result, this paper proposes a fingerprint identification algorithm or verification system that will be of good quality for the input fingerprint images. The proposed Efficient Fingerprint Enhancement (EFE) algorithm will overcome any possible limitations that have been found in the current biometric systems. The proposed EFE algorithm is going to bring improvement on the clarity of the ridges. In addition, the proposed EFE algorithm will bring improvement on the valley structures to the input fingerprint images which are based solely on the frequency and local ridge orientation. The MATLAB simulation tool will be used in the future to evaluate the performance of the proposed EFE algorithm with regards to improving the quality of inaccurate and askew fingerprint image during the authentication.
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An Efficient Fingerprint Enhancement Algorithm for Access Control Identification
Semantic Scholar · Computer Science · 2021
Abstract
Fingerprint Enhancement Algorithm for Access Control Identification, is an emerging system that provides good and efficient service for access thought out. It plays a very important feature in providing access anywhere in the world. There are so many issues around it and solutions have been implemented but failed. This is because of the interruptions on the system which are due to the over ink, dry skin, cut, bruises, and fingerprint misalignments. As a result, this paper proposes a fingerprint identification algorithm or verification system that will be of good quality for the input fingerprint images. The proposed Efficient Fingerprint Enhancement (EFE) algorithm will overcome any possible limitations that have been found in the current biometric systems. The proposed EFE algorithm is going to bring improvement on the clarity of the ridges. In addition, the proposed EFE algorithm will bring improvement on the valley structures to the input fingerprint images which are based solely on the frequency and local ridge orientation. The MATLAB simulation tool will be used in the future to evaluate the performance of the proposed EFE algorithm with regards to improving the quality of inaccurate and askew fingerprint image during the authentication.