Occluded face recognition based on Gabor wavelets

Date

2002-09-25

Author

Kepenekci, B
Tek, FB
Akar, Gözde

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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.

Subject Keywords

Neural networks, Graphs

URI

https://hdl.handle.net/11511/53282

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

B. Kepenekci, F. Tek, and G. Akar, “Occluded face recognition based on Gabor wavelets,” 2002, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53282.