Srinivas Nagamalla

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In this paper we have presented a novel approach for face recognition. The proposed method is based on the facial landmarks such as eyes, nose, lips etc. In this approach, first the probable position of these landmarks is located from the gradient image. Secondly, the template matching is employed over a region around the probable positions to detect exact(More)
Human facial appearance is affected by lots of environmental and personal factors. The human face is a very challenging pattern to recognize because of its rigid anatomy. The main problem of face recognition is large variability of the recorded images due to pose, illumination conditions, facial expression, cosmetics, different hair styles and presence of(More)
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