| Revista: | Computación y sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000381259 |
| ISSN: | 1405-5546 |
| Autores: | Moreno García, Carlos Francisco1 Serratosa, Francesc1 |
| Instituciones: | 1Universitat Rovira i Virgili, Departamento de Ingeniería Informática y Matemáticas, Barcelona. España |
| Año: | 2014 |
| Periodo: | Oct-Dic |
| Volumen: | 18 |
| Número: | 4 |
| Paginación: | 683-692 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | In some fields like forensic research, experts demand that a found sample of an individual can be matched with its full counterpart contained in a database. The found sample may present several characteristics that make this matching more difficult to perform, such as distortion and, most importantly, a very small size. Several solutions have been presented intending to solve this problem, however, big computational effort is required or low recognition rate is obtained. In this paper, we present a fast, simple, and efficient method to relate a small sample of a partial palmprint to a full one using elemental optimization processes and a voting mechanic. Experimentation shows that our method performs with a higher recognition rate than the state of the art method, when trying to identify palmprint samples with a radius as small as 2.64 cm |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Procesamiento de datos, Reconocimiento de imágenes, Registro de sub-imágenes, Método de Hough, Algoritmos |
| Keyword: | Computer science, Data processing, Image recognition, Sub-image registration, Hough method, Algorithms |
| Texto completo: | Texto completo (Ver HTML) |
