Fingerprint verification using computational geometry
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2016
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| _version_ | 1876452645854511104 |
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| author | Manuel Ramírez-Flores |
| author_facet | Manuel Ramírez-Flores |
| contents | Fingerprint verification using computational geometry Manuel Ramírez-Flores Gualberto Aguilar-Torres Gina Gallegos-García Ingeniería Fingerprint Equal Error Rate Angle of orientation Geometric Thresholds Delaunay Triangulation This paper presents a robust minutiae based method for fingerprint verification. The proposed method uses Delaunay Triangulation to represent minutiae as nodes of a connected graph composed of triangles. The minimum angle over all triangulations is maximized, which gives local stability to the constructed structures against rotation and translation variations. Geometric thresholds and minutiae data were used to characterize the triangulations created from input and template fingerprint images. The effectiveness of the proposed method is confirmed through calculations of false acceptance rate (FAR), false rejected rate (FRR) and equal error rate (EER) over FVC2002 databases compared to the results of other approaches. 2016 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49644128017 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.195 Vol.83 |
| format | Artículo científico |
| id | redalyc_49644128017 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Fingerprint verification using computational geometry Manuel Ramírez-Flores Ingeniería Fingerprint Equal Error Rate Angle of orientation Geometric Thresholds Delaunay Triangulation Fingerprint verification using computational geometry Manuel Ramírez-Flores Gualberto Aguilar-Torres Gina Gallegos-García Ingeniería Fingerprint Equal Error Rate Angle of orientation Geometric Thresholds Delaunay Triangulation This paper presents a robust minutiae based method for fingerprint verification. The proposed method uses Delaunay Triangulation to represent minutiae as nodes of a connected graph composed of triangles. The minimum angle over all triangulations is maximized, which gives local stability to the constructed structures against rotation and translation variations. Geometric thresholds and minutiae data were used to characterize the triangulations created from input and template fingerprint images. The effectiveness of the proposed method is confirmed through calculations of false acceptance rate (FAR), false rejected rate (FRR) and equal error rate (EER) over FVC2002 databases compared to the results of other approaches. 2016 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49644128017 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.195 Vol.83 |
| title | Fingerprint verification using computational geometry |
| topic | Ingeniería Fingerprint Equal Error Rate Angle of orientation Geometric Thresholds Delaunay Triangulation |
| url | https://www.redalyc.org/articulo.oa?id=49644128017 |