Enhancement of fingerprint liveness detection
Fingerprint scanners nowadays widely deployed in numerous civilians and government applications, but do suffer spoof attacks of fake fingerprints. The most existing fake fingerprint detection approach requires either additional or high-quality sensors or complicated calculation. Extraction of minuti...
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| Format: | Article |
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International Journal of Software Engineering and Technology
2018
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| _version_ | 1796863566082473984 |
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| author | Hassan, Rohayanti Zakaria, Zalmiyah Ahmad, Asraful Syifaa' |
| author_facet | Hassan, Rohayanti Zakaria, Zalmiyah Ahmad, Asraful Syifaa' |
| author_sort | Hassan, Rohayanti |
| collection | ePrints |
| description | Fingerprint scanners nowadays widely deployed in numerous civilians and government applications, but do suffer spoof attacks of fake fingerprints. The most existing fake fingerprint detection approach requires either additional or high-quality sensors or complicated calculation. Extraction of minutiae is an important step which requires estimation of orientation of the lines in an image. However, the poor-quality image during acquisition, would reduce the performance of the system. Therefore, in this paper proposed to include simple image filtering to enhance the quality of fingerprint images. Through this analysis, we conclude that by applying the image enhancement many undefined or spurious minutiae be neglected and many genuine minutiae are detected. |
| first_indexed | 2024-03-05T20:28:40Z |
| format | Article |
| id | utm.eprints-82341 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:28:40Z |
| publishDate | 2018 |
| publisher | International Journal of Software Engineering and Technology |
| record_format | dspace |
| spelling | utm.eprints-823412019-11-26T06:49:33Z http://eprints.utm.my/82341/ Enhancement of fingerprint liveness detection Hassan, Rohayanti Zakaria, Zalmiyah Ahmad, Asraful Syifaa' QA75 Electronic computers. Computer science Fingerprint scanners nowadays widely deployed in numerous civilians and government applications, but do suffer spoof attacks of fake fingerprints. The most existing fake fingerprint detection approach requires either additional or high-quality sensors or complicated calculation. Extraction of minutiae is an important step which requires estimation of orientation of the lines in an image. However, the poor-quality image during acquisition, would reduce the performance of the system. Therefore, in this paper proposed to include simple image filtering to enhance the quality of fingerprint images. Through this analysis, we conclude that by applying the image enhancement many undefined or spurious minutiae be neglected and many genuine minutiae are detected. International Journal of Software Engineering and Technology 2018 Article PeerReviewed Hassan, Rohayanti and Zakaria, Zalmiyah and Ahmad, Asraful Syifaa' (2018) Enhancement of fingerprint liveness detection. International Journal of Software Engineering and Technology, 4 (2). pp. 45-49. ISSN 2289-2842 http://ijset.mjiit.utm.my |
| spellingShingle | QA75 Electronic computers. Computer science Hassan, Rohayanti Zakaria, Zalmiyah Ahmad, Asraful Syifaa' Enhancement of fingerprint liveness detection |
| title | Enhancement of fingerprint liveness detection |
| title_full | Enhancement of fingerprint liveness detection |
| title_fullStr | Enhancement of fingerprint liveness detection |
| title_full_unstemmed | Enhancement of fingerprint liveness detection |
| title_short | Enhancement of fingerprint liveness detection |
| title_sort | enhancement of fingerprint liveness detection |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT hassanrohayanti enhancementoffingerprintlivenessdetection AT zakariazalmiyah enhancementoffingerprintlivenessdetection AT ahmadasrafulsyifaa enhancementoffingerprintlivenessdetection |