Face recognition has become an important component form of current biometric identification technology, the study of computer face recognition algorithms has been a hot topic of research and attention in academia and industry. However, the applicability of current face recognition algorithms to scenes still has much room for enhancement and improvement, especially in some special scenes, the accuracy of face recognition is poor, which is due to the influence of objective factors such as lighting and image angle on the one hand; on the other hand, interference caused by subjective factors such as facial movements and occlusion of the recognized person. To address the above problems, this paper designs a face recognition algorithm based on computer technology, which has significant application advantages at the index level of rejection rate, rejection times, comparison time and matching similarity, as well as the level of anti-interference.
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