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| Title: | Performance improvement in a fingerprint classification system using anisotropic diffusion |
| Authors: | Pardo, Alvaro Fernández, Alicia Gómez, Alvaro Barattini, Jose Gianarelli, Gustavo Vallarino, Gonzalo |
| Type: | Preprint |
| Descriptors: | PROCESAMIENTO de SEÑALES |
| Issue Date: | 2004 |
| Abstract: | In a previous work, [1], we evaluated a classification algorithm based on the Karu-Jain method [2] and compared the performance with a fully manual method used at the Dirección Nacional de Identificación Civil (DNIC). In this paper, we analyze the high performance improvement achieved using anisotropic diffusion instead of pure averaging for the directions smoothing. We also define a quality measure that shows high correlation with the experts’ criteria. The results are evaluated over 2800 images extracted from a 4 million fingerprint card archive maintained by DNIC. |
| Description: | Trabajo presentado en CIARP 2004: Progress in Pattern Recognition, Image Analysis and Applications, 2004 |
| Citation: | Pardo, A., Fernández, A., Gómez, A., Barattini, J, Gianarelli, G, Vallarino, G. Performance improvement in a fingerprint classification system using anisotropic diffusion [Preprint] Publicado en Proceedings of the CIARP 2004: Progress in Pattern Recognition, Image Analysis and Applications, 2004 https://doi.org/10.1007/978-3-540-30463-0_73 |
| Academic department: | Procesamiento de Señales |
| Investigation group: | Tratamiento de Imágenes |
| License: | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| Appears in Collections: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
Files in This Item:
| File | Description | Size | Format | ||
|---|---|---|---|---|---|
| VGBGFP04.pdf | 309,95 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
