New algorithm of DK-L face recognition
Ning Zhi-gang · Applied science and technology · 2009
The face recognition is an active subject in the fields of computer vision and pattern recognition, having a wide range of potential applications. This thesis focuses on the problems of face feature extraction and face com- pare in face recognition technology. In the feature classification mentioned, the method of the shortest distance, and the nearest neighbor rule are used in distance measurement. The algorithm proposes a novel method of meas- urement-optimization-selecting the best from the good ones, the Classifier in this algorithm can be simplified to make it more compact and effective, and higher correct recognition rate can be gained using less number of feature vectors. The effectiveness of the approach is experimentally demonstrated.