Improved AFIS for Color and Gray Image based on Biometric Triangulation
This research presents a fingerprint image processing algorithm for personal automatic identification, which has been in development since 1998. It is principally based on the comparison of the fingerprint's biometric pattern between the fingerprint captured (original) in each session and the o...
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| Format: | Article |
| Language: | English |
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Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2007-10-01
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| Series: | Journal of Computer Science and Technology |
| Subjects: | |
| Online Access: | https://journal.info.unlp.edu.ar/JCST/article/view/775 |
| _version_ | 1819297689580339200 |
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| author | María del Carmen Espino-Gudiño Vicente Rodríguez-Hernández Iván R. Terol Villalobos Gilberto Herrera Ruiz |
| author_facet | María del Carmen Espino-Gudiño Vicente Rodríguez-Hernández Iván R. Terol Villalobos Gilberto Herrera Ruiz |
| author_sort | María del Carmen Espino-Gudiño |
| collection | DOAJ |
| description | This research presents a fingerprint image processing algorithm for personal automatic identification, which has been in development since 1998. It is principally based on the comparison of the fingerprint's biometric pattern between the fingerprint captured (original) in each session and the one stored in database. It is preferable to capture the image in color. The biometric pattern is formed by the Euclidean distances based on the triangulation of only three minutiae. This methodology locates the position and the type of each minutia to perform the triangulation. The applied metric is the statistic similarity obtained by the comparison of both biometric patterns. This technique enables one to solve translation and rotation problems. An original colored fingerprint is used in order to obtain more information about the fingerprint situation. The space color used is HCL, because it helps get a good skin color for an encrypt key, which is formed by each channel (HCL) in accordance with the skin color. This system has several applications due to its low cost and efficiency. Finally, the results obtained with this methodology were satisfactory since in all the experimental tests the system offered a rate of global success of 99 %. |
| first_indexed | 2024-12-24T05:18:00Z |
| format | Article |
| id | doaj.art-9b084ff8d2bd44d7845ee39a0c339784 |
| institution | Directory Open Access Journal |
| issn | 1666-6046 1666-6038 |
| language | English |
| last_indexed | 2024-12-24T05:18:00Z |
| publishDate | 2007-10-01 |
| publisher | Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata |
| record_format | Article |
| series | Journal of Computer Science and Technology |
| spelling | doaj.art-9b084ff8d2bd44d7845ee39a0c3397842022-12-21T17:13:32ZengPostgraduate Office, School of Computer Science, Universidad Nacional de La PlataJournal of Computer Science and Technology1666-60461666-60382007-10-01703228234469Improved AFIS for Color and Gray Image based on Biometric TriangulationMaría del Carmen Espino-Gudiño0Vicente Rodríguez-Hernández1Iván R. Terol Villalobos2Gilberto Herrera Ruiz3Facultad de Ingeniería, Universidad Autónoma de Querétaro, Centro Universitario, Cerro de las Campanas, C.P. 76010, Querétaro, México.Facultad de Ingeniería e Informática, Universidad Autónoma de Q uerétaro, Centro Universitario, Cerro de las Campanas, C.P. 76010, Querétaro, México.CIDETEQ, Parque Tecnológico Querétaro S/N, San Fandila-Pedro E scobedo, C.P. 76700, Querétaro, México.Facultad de Ingeniería, Universidad Autónoma de Querétaro, Centro Universitario, Cerro de las Campanas, C.P. 76010, Querétaro, México.This research presents a fingerprint image processing algorithm for personal automatic identification, which has been in development since 1998. It is principally based on the comparison of the fingerprint's biometric pattern between the fingerprint captured (original) in each session and the one stored in database. It is preferable to capture the image in color. The biometric pattern is formed by the Euclidean distances based on the triangulation of only three minutiae. This methodology locates the position and the type of each minutia to perform the triangulation. The applied metric is the statistic similarity obtained by the comparison of both biometric patterns. This technique enables one to solve translation and rotation problems. An original colored fingerprint is used in order to obtain more information about the fingerprint situation. The space color used is HCL, because it helps get a good skin color for an encrypt key, which is formed by each channel (HCL) in accordance with the skin color. This system has several applications due to its low cost and efficiency. Finally, the results obtained with this methodology were satisfactory since in all the experimental tests the system offered a rate of global success of 99 %.https://journal.info.unlp.edu.ar/JCST/article/view/775afisbiometric patternsminutiaecolor and gray fingerprintsimage processing |
| spellingShingle | María del Carmen Espino-Gudiño Vicente Rodríguez-Hernández Iván R. Terol Villalobos Gilberto Herrera Ruiz Improved AFIS for Color and Gray Image based on Biometric Triangulation Journal of Computer Science and Technology afis biometric patterns minutiae color and gray fingerprints image processing |
| title | Improved AFIS for Color and Gray Image based on Biometric Triangulation |
| title_full | Improved AFIS for Color and Gray Image based on Biometric Triangulation |
| title_fullStr | Improved AFIS for Color and Gray Image based on Biometric Triangulation |
| title_full_unstemmed | Improved AFIS for Color and Gray Image based on Biometric Triangulation |
| title_short | Improved AFIS for Color and Gray Image based on Biometric Triangulation |
| title_sort | improved afis for color and gray image based on biometric triangulation |
| topic | afis biometric patterns minutiae color and gray fingerprints image processing |
| url | https://journal.info.unlp.edu.ar/JCST/article/view/775 |
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