Fingerprint recognition using ridge feature-base approach for human identification
| dc.contributor.author | Asa, Mensah Yaw | |
| dc.date.accessioned | ||
| dc.date.accessioned | 2023-04-19T03:06:30Z | |
| dc.date.available | 2021-05-26T11:40:59Z | |
| dc.date.available | 2023-04-19T03:06:30Z | |
| dc.date.issued | 2021-05-26 | |
| dc.description | A thesis submitted to the Department of Computer Science, College of Science, Kwame Nkrumah University of Science and Technology, in partial fulfillment of the requirements for the degree of Master of Science (Msc) in Information Technology, KNUST, Department of Computer Science, College of Science. | en_US |
| dc.description.abstract | In recent years’, fingerprint recognition is gaining more and more acceptance. The aim of this research is to propose fingerprint recognition using ridge feature base matching. The research was conduct using Valley View University (Techiman Campus) each of the subjects' fingerprints were capture for analysis. The thumb and index were captured four times at difference time, and three were used for the data set and one for test data. The thumb and index finger were captured three-times and store in a database also the number ridge end feature are extracted from each finger and store in the database. The thumb and index fingerprint of each subject were taken for test data and compared with the database for matching. The study showed that ridge feature base fingerprint matching is very effective and efficient as compared with other approach or techniques. The ridge image is a compact representation of the fingerprint image. There is the possibility of ridge images being effectively approximated by polygonal lines leading to a reduction of the template file. Also, ridges, unlike minutiae, cover the entire region of the fingerprint. Hence with a reduction of the effective region of the two fingers, the performance of the ridge-based system is not compromised greatly. Additionally, the system produces higher matching scores as compared to the conventional minutiae system rendering the proposed system more efficient than the conventional minutiae system. | en_US |
| dc.description.sponsorship | KNUST | en_US |
| dc.identifier.uri | https://ir.knust.edu.gh/handle/123456789/13826 | |
| dc.language.iso | en_US | en_US |
| dc.subject | Fingerprint recognition | en_US |
| dc.subject | Human identification | en_US |
| dc.title | Fingerprint recognition using ridge feature-base approach for human identification | en_US |
| dc.type | Thesis | en_US |
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