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This paper describes the different classifier methods with minimum means of clusters to achieve face recognition rate of humans from the feature extracted of training face image data for many sets of images as a data base. Principal Component Analysis (PCA) is a robust method used as feature extraction techniques for face recognition but the recognition decreases with the variation of person's actions...
This paper introduced an approach to design and implement a system to control opening of security door by means of the human voice to recognize the password. The aim of this paper is to recognize the speaker and the word to open the door to obtain more security by high recognition rate. This paper proposes Mel-Frequency Cepstral Coefficient (MFCC) technique as feature extraction combined with its...
This paper introduced an approach to design and implement an embedded SoPC (System on a Programmable Chip) technique with Altera Nios II processor for real-time speech recognition system by developing hardware/software with minimum usage of resources (hardware components) and relatively small size software to reduce memory utilization. This is achieved by using Mel Frequency Cepstral Coefficients...
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