Revue: | 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 |
Texte intégral: | Texto completo (Ver HTML) |