Bonfring International Journal of Advances in Image Processing

Impact Factor: 0.245 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)


An Enhanced Framework for Face Recognition under Varying Lighting Conditions

R. Rajathi and J. Jansi Rani


Abstract:

Nowadays face recognition has much importance in surveillance systems and human in computer interaction. It is difficult to recognize face under varying lighting conditions. This can be done by combining the strengths of robust illumination normalization, local texture based face representations, kernel based feature extraction and multiple fusion. There are three methods (LBP, LTP, GABOR WAVELETS) are proposed here for recognition of input image. Input images at different lighting conditions, are first preprocessed and then LBP, LTB are calculated. For improving Robustness kernel PCA is used which makes use two complimentary sources that are Gabor wavelets gucci borse imitazioni and LBP. Here compare the output from Gabor wavelet selection for the test image with database images and the image can be verified / recognized or not. This method provides good accuracy face recognition results.

Keywords: Face Recognition, Illumination Invariance, Image Preprocessing, Local Binary Patterns, Visual Features

Volume: 2 | Issue: Special Issue on Communication Technology Interventions for Rural and Social Development

Pages: 13-16

Issue Date: February , 2012

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