[PDF] Top 20 IRIS Recognition System using Neural Network and Genetic Algorithm
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IRIS Recognition System using Neural Network and Genetic Algorithm
... The iris became a much explored field. Human iris contains unique and very important information about ...and recognition of a person [2]) and ... See full document
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Multi Modal Iris Recognition System based on Convolution Neural Network
... complete iris recognition ...of iris is used to avoid the occlusion by eyelashes and ...of iris images and minimum distance classifier is used for ...on recognition accuracy of ... See full document
6
Face Recognition using Genetic Algorithm and Neural Networks
... the Genetic Algorithms technique application in facial detection, which will solve the one step for face ...the Genetic Algorithms (GA's) are characterized as one search technique inspired by Darwin ... See full document
5
Improving the accuracy of Iris Recognition System using Neural Network and Particle swarm Optimization
... preprocessed using adaptive median filter for removing salt and pepper ...the iris and pupil are extracted from the preprocessed imageThese extracted features are given to Feed Forward Back Propagation ... See full document
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A Hybrid Model using Artificial Neural Network and Genetic Algorithm for Degree of Injury Determination
... Artificial Neural Network with Genetic Algorithm (ANN-GA) to optimize the weight of Artificial Neural ...injury system that have been built using AHP in the previous ... See full document
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ECG SIGNAL ANALYSIS AND PREDICTION OF HEART ATTACK WITH THE HELP OF OPTIMIZED NEURAL NETWORK USING GENETIC ALGORITHM
... data using complex algorithms in order to discover unknown patterns in the process of knowledge ...artificial neural network (ANN) can use for pattern recognition, classification as well as ... See full document
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Detection of Tumor in Mammographic Images by RBF Neural Network and Multi Population Genetic Algorithm
... MPGA is a random population; different from other GA, it uses multiple populations. Each population works on one optimization function corresponding to one task point. In MPGA the complexity does not increase much as the ... See full document
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An Efficient Iris Recognition System Using Contourlet Transform and Neural Networks
... circular iris boundary edge map if using all gradient ...the iris boundary to reduce the influence of the eyelids when performing circular Hough transform, and not all the edge pixels defining the ... See full document
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Spam detection using hybrid of artificial neural network and genetic algorithm
... Many researches are founded in applying Artificial Neural Network (ANN). The major cons of ANN are that it needs considerable time to select the parameter and network training. On the other hand, ANN ... See full document
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Exploration of Anomaly Based Intrusion Detection System: A Security Framework
... detection system are genetic algorithm, apache storm, neural network, artificial immune system, genetic clustering method and Linear Discriminant Analysis & Logistic ... See full document
6
Comparative Study of Optical Character Recognition Techniques
... 3. Genetic Algorithm Optimized Neural Network: Genetic algorithm runs twice in this system, first is to determine the network architecture and sec, to determine the ... See full document
8
Multi algorithmic IRIS Recognition
... iris recognition system with very low error ...matching iris patterns in this work and if the HD is below 0.15, the two iris pattern are given a match and is a genuine ...two ... See full document
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Development of a Genetic based Neural Network System for Online Character Recognition
... and recognition was done by using genetic algorithm as a tool to find an optimal subset of the stroke ...features. Recognition rate of ...character recognition system ... See full document
8
NEURAL NETWORK BASED MATCHING APPROACH FOR IRIS RECOGNITION
... Iris recognition has been considered as one of the most reliable biometrics technologies in recent years due to its high reliability in person ...an iris recognition system has been ... See full document
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Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq
... earnings using an “artificial neural network with an error backward propagation algorithm” and an “artificial neural network with a genetic algo- rithm”, 61 firms in 7 ... See full document
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Iris Recognition using Convolutional Neural Network Design
... of Iris recognition ...extract iris feature and Hamming Distance is used for matching ...good recognition rate but suffers from poor generalization ...variable recognition rates on ... See full document
7
REVIEW OF SPEECH AND SPEECH RECOGNITION SYSTEM USING FEATURE EXTRACTION ALGORITHM AND OPTIMIZATION ALGORITHMS
... speech recognition and speaker recognition ...speech recognition with speaker recognition based on Hidden Markov Model for security is a requirement of ...speech using Artificial ... See full document
11
IRIS Recognition Using Neural Network
... normalized iris image is divided into cells and codes generated for these cells by the proposed code generation ...The recognition rate for cumulative sum based change analysis is ...by using Radial ... See full document
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IRIS RECOGNITION FOR PERSONNEL IDENTIFICATION USING NEURAL NETWORK: A REVIEW
... systems Iris is taking too much attention because of its reliable and secure identification ...measures. Iris recognition system consists of localization of the iris region, generation ... See full document
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FACE DETECTION WITH SKIN COLOR AND FEATURES AND RECOGNIZATION USING GENETIC ALGORITHM
... training neural network models from scratch can be high, another feature employed in this work was to guarantee that when a new offspring is generated it does not duplicate any chromosome ... See full document
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