| Revista: | Journal of applied research and technology |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000367698 |
| ISSN: | 1665-6423 |
| Autores: | Sharif, M1 Ayub, K1 Sattar, D1 Raza, M1 Mohsin, S1 |
| Instituciones: | 1COMSATS Institute of Information Technology, Department of Computer Science, Wah Cantt. Pakistán |
| Año: | 2012 |
| Periodo: | Ago |
| Volumen: | 10 |
| Número: | 4 |
| Paginación: | 607-617 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental |
| Resumen en inglés | This paper presents a face hashing technique for fast face recognition. The proposed technique employs the two existing algorithms, i.e., 2-D discrete cosine transformation and K-means clustering. The image has to go through different pre-processing phases and the two above-mentioned algorithms must be used in order to obtain the hash value of the face image. The searching process is increased by introducing a modified form of binary search. A new database architecture called Facebases has also been introduced to further speedup the searching process |
| Disciplinas: | Ingeniería, Ciencias de la computación |
| Palabras clave: | Ingeniería de control, Procesamiento de datos, Reconocimiento de rostros, Bases de datos |
| Keyword: | Engineering, Computer science, Control engineering, Data processing, Face recognition, Data bases |
| Texto completo: | Texto completo (Ver HTML) |
