Occluded face recognition based on Gabor wavelets


Kepenekci B., Tek F., Akar G.

IEEE International Conference on Image Processing, New-York, Amerika Birleşik Devletleri, 22 - 25 Eylül 2002, ss.293-296 identifier identifier

  • Basıldığı Şehir: New-York
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.293-296

Özet

A new feature based approach to frontal face recognition with Gabor wavelets is presented in this paper. The feature points are automatically extracted using the local characteristics of each individual face in order to decrease the effect of occluded features. There is no training as in neural network approaches, thus single frontal face for each individual is enough as reference. Experimental results show that the proposed method achieves a recognition ratio of over %95.