Improved LBP algorithm using image processing and Viola-Jones

Computer science

Face Recognition is a computer application that is capable of detecting, tracking, identifying or verifying human faces from an image or video captured using a digital camera. Although lot of progress has been made in domain of face detection and recognition for security, identification and attendance purpose, but still there are issues hindering the progress to reach or surpass human level accuracy. These issues are variations in human facial appearance such as; difference in illumination, lighting condition, noisy facial images, scale, pose etc. In this paper we introduce some advanced image processing techniques like contrast adjustment, image filtering, histogram equalization etc. In addition to these some image blending functions can also be used to create a more robust model for recognition. Apart from that, the rest of the implementation of the LBP process remains the same. At the end, we also give a suggested improvement based on median filtering, which uses the median metric instead of the normal LBP operator to improve the rate of recognition of the algorithm.

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