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Journal of applied research and technology

versión On-line ISSN 2448-6736versión impresa ISSN 1665-6423

J. appl. res. technol vol.10 no.4 Ciudad de México ago. 2012

 

Enhanced and Fast Face Recognition by Hashing Algorithm

 

M. Sharif*, K. Ayub, D. Sattar, M. Raza, S. Mohsin

 

Department of Computer Science, COMSATS Institute of Information Technology Wah Cantt Pakistan. *muhammadsharifmalik@yahoo.com.

 

ABSTRACT

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.

Keywords: DCT, K-means, Facebases, database, hashing, recognition.

 

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