Foley-Sammon face recognition method fusing matrixes and vector feature extraction
A feature extraction and face recognition technology, applied in the field of Foley-Sammon face recognition, can solve problems such as time-consuming, large amount of calculation, and the existence of small samples.
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[0061] The invention proposes a bidirectional two-dimensional Foley-Sammon human face image feature extraction method, which compresses the human face image by using the bidirectional two-dimensional Foley-Sammon feature extraction method. Each compressed image is pulled into a vector by row and column, and then fused into a vector data. The identification information of the fused vector data is extracted to obtain the compressed data of the vector data. Finally, the nearest neighbor classifier is used to classify the results to realize the accurate recognition of face images. This method combines two feature extraction methods of matrix and vector, and has the advantages of small calculation, small storage space, and high recognition rate.
[0062] One embodiment of the invention is provided below:
[0063] In this embodiment, there are 10 people in the JAFFE facial expression database, and each person has 7 types of expressions, and each type of expression has 8 pieces. T...
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