A high performance biometric system based on image morphological analysis
Fil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
| Main Authors: | , , |
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| Format: | publishedVersion |
| Language: | eng |
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2021
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| Online Access: | http://hdl.handle.net/11086/20856 http://dx.doi.org/10.14569/IJACSA.2014.050914 |
| _version_ | 1801216661991194624 |
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| author | Rocchietti, Marco Augusto Scerbo, Alejandro Luis Ángel Ojeda, Silvia María |
| author_facet | Rocchietti, Marco Augusto Scerbo, Alejandro Luis Ángel Ojeda, Silvia María |
| author_sort | Rocchietti, Marco Augusto |
| collection | Repositorio Digital Universitario |
| description | Fil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. |
| format | publishedVersion |
| id | rdu-unc.20856 |
| institution | Universidad Nacional de Cordoba |
| language | eng |
| publishDate | 2021 |
| record_format | dspace |
| spelling | rdu-unc.208562023-08-31T13:16:39Z A high performance biometric system based on image morphological analysis Rocchietti, Marco Augusto Scerbo, Alejandro Luis Ángel Ojeda, Silvia María Biometric system Digital image processing Pupil and iris segmentation Iris matching publishedVersion Fil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Scerbo, Alejandro Luis Ángel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Ojeda, Silvia María. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. At present, many of the algorithms used and proposed for digital imaging biometric systems are based on mathematical complex models, and this fact is directly related to the performance of any computer implementation of these algorithms. On the other hand, as they are conceived for general purpose digital imaging, these algorithms do not take advantage of any common morphological features from its given domains. In this paper we developed a novel algorithm for the segmentation of the pupil and iris in human eye images, whose improvement’s hope lies in the use of morphological features of the images of the human eye. Based on the basic structure of a standard biometric system we developed and implemented an innovation for each phase of the system, avoiding the use of mathematical complex models and exploiting some common features in any digital image of the human eye from the dataset that we used. Finally, we compared the testing results against other known state of the art works developed over the same dataset. publishedVersion Fil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Scerbo, Alejandro Luis Ángel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Ojeda, Silvia María. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Ciencias de la Computación 2021-10-19T14:43:37Z 2021-10-19T14:43:37Z 2014 article Rocchietti, M. A., Scerbo, A. L. A. y Ojeda, S. M. (2014). A high performance biometric system based on image morphological analysis. International Journal of Advanced Computer Science and Applications, 5 (9), 89-94. http://dx.doi.org/10.14569/IJACSA.2014.050914 http://hdl.handle.net/11086/20856 http://dx.doi.org/10.14569/IJACSA.2014.050914 eng Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Impreso; Electrónico y/o Digital ISSN 2158-107X |
| spellingShingle | Biometric system Digital image processing Pupil and iris segmentation Iris matching Rocchietti, Marco Augusto Scerbo, Alejandro Luis Ángel Ojeda, Silvia María A high performance biometric system based on image morphological analysis |
| title | A high performance biometric system based on image morphological analysis |
| title_full | A high performance biometric system based on image morphological analysis |
| title_fullStr | A high performance biometric system based on image morphological analysis |
| title_full_unstemmed | A high performance biometric system based on image morphological analysis |
| title_short | A high performance biometric system based on image morphological analysis |
| title_sort | high performance biometric system based on image morphological analysis |
| topic | Biometric system Digital image processing Pupil and iris segmentation Iris matching |
| url | http://hdl.handle.net/11086/20856 http://dx.doi.org/10.14569/IJACSA.2014.050914 |
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