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| Title: | RECOGNITION OF FACIAL PATTERN BY MODIFIED KOHONEN'S SELF ORGANIZING MAP (MKSOM) AND ANALYZE THE PERFORMANCE | |
| DOI No: | 10.1142/9781860948534_0063 | |
| Source: | INNOVATIVE APPLICATIONS OF INFORMATION TECHNOLOGY FOR THE DEVELOPING WORLD (pp 399-406) | |
| Author(s): | S. M. KAMRUL HASAN
Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh, India MD. NAZRUL ISLAM MONDAL Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh, India NAFISA TARANNUM Department of Computer Science, Premiere University, Chittagong, Bangladesh, India MD. TANVIR AHMED CHOWDHURY Department of Computer Science, Premiere University, Chittagong, Bangladesh, India |
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| Abstract: | The candidate system highlights the modification of ordinary face recognition strategy. Real valued face pattern remove the undesirable changes of input due to the shifting and intensity variation. The two stage system developed by Modified KSOM technique allows identifying the face patterns at various poses. Modification developed in the determination of neighborhood size and consideration of existing patterns. Modified technique allows a high performance learning strategy and optimum stability of the network. Input of the system is a function of gray level. Former stage is concerned with the conversion of visual pattern into a raw format to process with the MKSOM network. The processed pattern is the input vector for neural network. The system also deals with performance measurement of the MKSOM with some other existing pattern recognition techniques. Modification made with the pattern of input which avoids the traditional binary input. This approach extremely minimize the learning time comparing with the existing pattern recognition system. By avoiding propagation, it is possible to minimize the computation and weight adoption. MKSOM maintains the individuality of patterns with its weight set. | |
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