Image classification by classifier combining technique

Ke Liu; Yea-Shuan Huang; Ching Y. Suen

doi:10.1117/12.179229

30 June 1994 Image classification by classifier combining technique

Ke Liu, Yea-Shuan Huang, Ching Y. Suen

Proceedings Volume 2304, Neural and Stochastic Methods in Image and Signal Processing III; (1994) https://doi.org/10.1117/12.179229
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

A classification method has been proposed to recognize images of multiple classes based on algebraic feature extraction and classifier combining techniques. First, an image algebraic feature extraction method is applied to all pairs of classes to extract the image features. Then, a nearest neighbor classifier with a small number of prototypes is designed for each pair of classes based on the algebraic features of training samples. Finally, a neural network technique is used to combine the measurement values of paired classes. Experiments on the U.S. zip code data base show that the method is effective.

Citation Download Citation

Ke Liu, Yea-Shuan Huang, and Ching Y. Suen "Image classification by classifier combining technique", Proc. SPIE 2304, Neural and Stochastic Methods in Image and Signal Processing III, (30 June 1994); https://doi.org/10.1117/12.179229

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