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Proposed algorithm is a face recognition algorithm from video using Generalized mean Deep Learning Neural Network. Generalized mean provides fast convergence of the feature set and Deep learning neural network is enhanced using wavelet transform as it improves the classification efficiency of the neural network. The performance of the proposed algorithm is evaluated on PaSC and Youtube dataset. The...
Holistic approaches of face recognition are not robust to illumination, scale, occlusion and age variations. Various studies indicate that the performance of holistic approaches degrades as the face database size increases. In this paper, we propose a user specific landmark geometry based approach that assigns weights to different geometrical distances according to their role in face recognition process...
There are many applications in which morphological operations play an important role. Morphology is a very useful mathematical tool or method to be used in image processing. It has many application like edge detection and extraction form images for specific purpose, feature extraction based on the boundary information etc. It has many advantages over other image processing tools like the complete...
There are many applications which use Face Recognition for identification or verification of a person. In this study, a face recognition system based on HMM has been proposed to handle the problem of partial occlusion. Face is represented by eight isolated regions: Hairs, Forehead, Eyebrows, Eyes, Nose, Upper Lips, Mouth and Chin. The non-occluded region in face image of testing and training image...
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