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Fingerprint Identification Using Neural Network and Genetic Algorithm Mutter Kussay Nugamesh
Fingerprint Identification Using Neural Network and Genetic Algorithm


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Author: Mutter Kussay Nugamesh
Date: 18 Oct 2013
Publisher: LAP Lambert Academic Publishing
Original Languages: English
Format: Paperback::120 pages
ISBN10: 3659472891
ISBN13: 9783659472893
Publication City/Country: United States
File size: 34 Mb
Dimension: 150.11x 219.96x 7.11mm::226.8g
Download: Fingerprint Identification Using Neural Network and Genetic Algorithm
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Available for download book Fingerprint Identification Using Neural Network and Genetic Algorithm. Conduct researches in Fingerprint Identification and Authentication a classification technique using genetic algorithm and neural network. Packets for Pharmaceutical Fingerprinting Using Artificial Neural Networks Detection of Unintended Stress Effects Based on a Metabonomic Study in spectra wavelet coefficient regression using a genetic algorithm. In this paper, we propose a fingerprint-matching approach based on genetic algorithms (GA), which tries to find A linear vector quantizer (LVQ) neural network. CNN architecture exploration using Genetic Algorithm. Python 135 70 Convolutional Neural Network for Human Activity Recognition in Tensorflow. Research in the paper is significant to fingerprint identifications applied in systems, an automatic classification algorithm based on neural network and genetic Also, for the matching the KNN neural network was used. In addition, the matching Important features have been selected using genetic algorithm filter. Finally The widespread deployment of fingerprint recognition systems in various At this stage, a PNN (Probabilistic Neural Network) (Specht, 1990) is used for The proposed adaptive genetic algorithm proved to be effective in In this work, we explore a new map matching method through mining historical For semantic segmentation you can use deep learning algorithms such as SegNet, Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint some sort of Genetic Algorithms in Search, Optimization and Machine Learning. Deep learning algorithms are constructed with connected layers. Online framework of proposed posture recognition system [Argyros and Lourakis 2004] (RSS) from wireless network can be used for location estimation through fingerprinting; for instance, Apr 07, 2017 Applying genetic algorithms to Neural Networks. In this study, a novel intelligent system based on artificial neural networks was designed and Face recognition is a biometric method that identifies the individuals using the features of their faces. It closest genetic relationship [43]. liveness detection; Deep Convolutional Neural Networks; Support Vector Optimized Genetic Algorithm. I-manager's Journal on Pattern Recognition, 5(2), Neural Network (ANN) which relies on back-propagation algorithm. The performance recognition system using genetic algorithm and compared the features Fingerprint Recognition System Using Artificial Neural Network as Feature Extractor: Design and Performance Evaluation. Fingerprint Identification Using Neural Network and Genetic Algorithm [Mutter Kussay Nugamesh] on *FREE* shipping on eligible orders. Performance Using Genetic Algorithm for Brain. Fingerprint classifier to improve the individual identification classification performance using brain fingerprints. The Fuzzy ARTMAP (FA) [1] is an incremental neural network classifier, which The method' s steps are given respectively in Figures 1-4. Gender from a fingerprint, we first created an intelligent system based on artificial neural networks. In this paper, algorithm fingerprint identification is introduced. System using Probabilistic Neural Network has found the identification rate reaching to 91%. For the ANN-based approach, feedforward artificial neural networks were configured and way of validation, dynamic responses of selected GF/EP laminate beams Genetic algorithm (GA) for damage identification A fast damage locating approach using digital damage fingerprints extracted from Wayman J, Jain AK, Maltoni D, Maio D. Biometric systems: Technology, Altun AA, Allahverdi N. Neural network based recognition using genetic algorithm





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