[PDF] Top 20 Face Recognition using Artificial Neural Networks

Face Recognition using Artificial Neural Networks

... The idea of ANNs is based on the belief that working of human brain by making the right connections, can be imitated using silicon and wires as living neurons and dendrites. The human brain is composed of 86 ... See full document

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Face Recognition System by Integrating PCA, FLDA, Artificial Neural Networks and Minimum Euclidean Distance

... Principal Components Analysis is a powerful tool for feature extraction. This analysis identifies the patters in the data and represents them in a way of their similarities and differences. If the database has lot of ... See full document

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Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS

... The experiment has been conducted on a 50 individuals. Each individual has three views and each view has 3 samples. Their images have been taken under constant light so as to ensure that their all three views look alike. ... See full document

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1. Efficient face recognition using convolutional neural networks

... inputs. Artificial Neural Networks (ANNs)[22,23,24] are processing devices that are modeled after the neural structure of the mammalian cerebral cortex on smaller ...scales. Neural ... See full document

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Human Body Posture Recognition using Artificial Neural Networks

... idea that human body parts are approximated by nearly cylindrical surfaces, of which the axes of minimum curvature accurately reconstruct the human body skeleton. Then the segmentation is evaluated with a line segment ... See full document

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Face Recognition using Genetic Algorithm and Neural Networks

... shaped using some selection mechanisms used in Nature, according with that individuals who are abler in a population are those who have more survival possibility, when adapting themselves more easily to the ... See full document

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Review of Face Recognition Systems Using Different Artificial Neural Network Algorithms

... Face recognition is one of the most relevant applications of image processing and biometric ...systems. Artificial neural networks (ANN) have been used in the field of image processing ... See full document

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Mallats Wavelet Transform for Face Recognition using Artificial Neural Network

... represents face recognition using Mallets Wavelet Transform and Artificial Neural ...the face recognition system since many ...robust face recognition system ... See full document

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Development of a deep neural network for automated electromyographic pattern classification

... achieved using artificial neural networks (ANNs), which are increasingly used for pattern recognition and classification in the field of machine learning (Russakovsky et ...adjusted ... See full document

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A FACE RECOGNITION SYSTEM BASED ON PRINCIPAL COMPONENT ANALYSIS USING BACK PROPAGATION NEURAL NETWORKS

... recognition, which is fast, reasonably simple, and accurate in constrained environments such as an office or a household. Face recognition using Eigen faces has been shown to be accurate and ... See full document

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Face Recognition across Time Lapse Using Convolutional Neural Networks

... lifestyle. Face recognition across time lapse belongs to the general topic of face recognition in un- controlled or wild settings and affects security solutions that involve human ... See full document

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Optical Character Recognition Using Artificial Neural Networks Approach

... many recognition task have been automated. OCR, Optical Character Recognition is a scheme of converting the images of typewritten or printed text into a format that is understood by ...the ... See full document

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Prediction of Stock Prices Using Artificial N...

... speech recognition, monitoring, marketing, character recognition, image segmentation ...addition, artificial neural networks are often able to detect subtle patterns and trends that may ... See full document

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Discrete Wavelet Transforms and Artificial Neural Networks for Recognition of Isolated Spoken Words

... of neural network used in the area of pattern classification, which includes multilayer ...direction using the error back propagation correction ...The recognition accuracy depends on the feature ... See full document

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STUDY OF PERSONALITY PREDICTION BASED ON HANDWRITING AND SIGNATURE RECOGNITION USING MULTIPLE ARTIFICIAL NEURAL NETWORK AND MULTI-STRUCTURE ALGORITHM

... a Recognition of Handwriting Based on Signature and Digit of Character Using Multiple of Artificial Neural Networks in Personality Identification ...form using multi-structure ... See full document

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Sign Language Recognition using Hybrid Neural Networks

... language recognition is to offer an effectual and correct tool to transcribe hand gesture into ...language recognition (SLR), as one of the significant research fields of human–computer interaction (HCI), ... See full document

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Human Gesture Recognitions Using Levenberg Perceptron Neural Network

... An artificial neural network, often just called a neural network, is a mathematical model inspired by biological neural ...A neural network consists of an interconnected group of ... See full document

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An Indian Coin Recognition System Using Artificial Neural Networks

... DWT using Haar wavelet to decompose the Indian coin image into approximation and detail components at different levels, is being ...to neural network ... See full document

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Online Face Recognition System Using Artificial Neural Network

... described Artificial Neural Network (ANN) as a complex adaptive system where it will learn and change its internal structure based on information flowing through ...Online face recognition ... See full document

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Video Based Face Recognition Using Artificial Neural Network

... based face recognition algorithm is based on the observation that video signature can be created by combining the large information available within multiple frames of a ...video using ... See full document

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