Details

Autor(en) / Beteiligte

• Patil, M. K.
• Patekar, S. A.
• Sankhe, P.
• Nemade, B.

Titel

Gabor feature extraction for gray scale image

Ist Teil von

• Proceedings of the International Conference & Workshop on Emerging Trends in Technology, 2011, p.22-24

Ort / Verlag

New York, NY, USA: ACM

Erscheinungsjahr

2011

Quelle

ACM Digital Library (Association for Computing Machinery)

Beschreibungen/Notizen

• Face detection has been an attractive field of research for both neuroscientists and computer vision scientists. Humans are able to identify reliably a large number of faces and neuroscientists are interested in understanding the perceptual and cognitive mechanisms at the base of the face detection process. Face detection helps human being to focus on the face recognition system, optimizing the system speed and performance. In this paper to detect the face Gabor filters are used. It performs dimensionality reduction and linear discriminate analysis on the Gabor wavelet faces. Gabor wavelet faces combined with neural network classifier shows very good performance, and achieves maximum correct recognition rate on different databases.