Evolutionary Fuzzy Clustering and Parallel Neural Networks based Human Identification using Face Biometrics
نویسندگان
چکیده
1 ABSTRACT This paper proposed a face recognition technique using evolutionary fuzzy clustering and parallel neural networks. Evolutionary fuzzy clustering is used for optimal distribution of images into the corresponding clusters which are generated through fuzzy clustering. Parallel neural network is used for training and recognition process is done based on the outcome of the parallel neural network. For evaluation of performance of the proposed technique, we use AT & T bell lab face dataset. Experimental analysis shows the efficacy of the proposed method and effect of various parameters on recognition rate.
منابع مشابه
A method of face recognition based on fuzzy clustering and parallel neural networks
In this paper, we present a method of face recognition based on fuzzy clustering and parallel neural networks. Two sets of images are acquired: the frontal images and the slight angle profile face images. In the case of the slight angle profile face images,a head model is built in order to compensate the pose. In the second step, we propose a method for face recognition based on fuzzy clusterin...
متن کاملINTEGRATED ADAPTIVE FUZZY CLUSTERING (IAFC) NEURAL NETWORKS USING FUZZY LEARNING RULES
The proposed IAFC neural networks have both stability and plasticity because theyuse a control structure similar to that of the ART-1(Adaptive Resonance Theory) neural network.The unsupervised IAFC neural network is the unsupervised neural network which uses the fuzzyleaky learning rule. This fuzzy leaky learning rule controls the updating amounts by fuzzymembership values. The supervised IAFC ...
متن کاملOutlier Detection Using Extreme Learning Machines Based on Quantum Fuzzy C-Means
One of the most important concerns of a data miner is always to have accurate and error-free data. Data that does not contain human errors and whose records are full and contain correct data. In this paper, a new learning model based on an extreme learning machine neural network is proposed for outlier detection. The function of neural networks depends on various parameters such as the structur...
متن کاملThe Application of Combined Fuzzy Clustering Model and Neural Networks to Measure Valuably of Bank Customers
Currently, acquisition of resources in banks is subject to attraction of the resources of banking customers. Meanwhile, the Bank’s valuable customers are one of the best resources to make profit for banks. Several different models are introduced for evaluation of profitability of the customers; but most of them are classical models and they are unable to evaluate the customers in complete and o...
متن کاملThe Application of Combined Fuzzy Clustering Model and Neural Networks to Measure Valuably of Bank Customers
Currently, acquisition of resources in banks is subject to attraction of the resources of banking customers. Meanwhile, the Bank’s valuable customers are one of the best resources to make profit for banks. Several different models are introduced for evaluation of profitability of the customers; but most of them are classical models and they are unable to evaluate the customers in complete and o...
متن کامل