A face recognition system based on the hard-limited eigenfunctions derived from the Karhunen-Loeve transform is proposed. The key of this approach is to change the inner product of the face image and the selected eigenvectors from floating point arithmetic to integer arithmetic. A database with 1000 facial images corresponding to 100 subjects is collected for system evaluation. It is demonstrated that 92% correct classification rate and 6-fold computational time saving can be achieved by the use of the first 150 hard-limited features.

This letter presents text-independent speaker identification results for telephone speech. A speaker identification system based on Karhunen-Loeve transform (KLT) derived from codebook design using genetic algorithm (GA) is proposed. We have combined genetic algorithm (GA) and the vector quantization (VQ) algorithm to avoid typical local minima for speaker data compression. Identification accuracies of 91% were achieved for 100 Mandarin speakers.