[PDF] Top 20 DEVELOPING A NEURAL NETWORK- BASED METHOD FOR FASTER FACE RECOGNITION BY TRAINING & SIMULATION

DEVELOPING A NEURAL NETWORK- BASED METHOD FOR FASTER FACE RECOGNITION BY TRAINING & SIMULATION

... the face images obtain from a database is been divided into blocks having dimension of 32×32 ...the face image into class doubled values, each loaded ‘n’ images will be divided into 32×32 array dimensional ... See full document

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FACE RECOGNITION USING GABOR WAVELET TRANSFORM AND FEED FORWARD NEURAL NETWORK

... pattern recognition systems using neural network methods has been ...observed. Face Recognition (FR) is a specialized pattern recognition task for several applications such as ... See full document

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Face recognition system based on imperialist competitive algorithm and neural network (ICANN)

... system based-on Imperialist Competitive Algorithm Neural Network ...software recognition process is based-on (Math ...the simulation system shows faster more accurate than ... See full document

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Face Recognition Based on DCT and RBF Neural Network

... the face recognition method using k-means clustering, Principal Component Analysis (PCA) and RBF neural network ...of face orientation up to a tolerable ...efficient face ... See full document

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Morphological Shared Weight Neural Network: A method to improve fault tolerance in Face Recognition

... learned based on the similarity of patterns (in unsupervised ...enabling faster processing of huge data sets, has also facilitated the use of elaborate and diverse methods for data analysis and ...pattern ... See full document

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Comparison of Different Neural Network Training Algorithms with Application to Face Recognition

... of face images. The second method is based on PCA ...this method, key information is derived from the entire face ...particular face can be expressed using the coordinate system ... See full document

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Research and Applications of Optimal Face Recognition System

... effective method for general purpose pattern recognition because of its high generalization performance without the need to add other knowledge ...the training set but also the unseen example of the ... See full document

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SECURE ROUTING IN MANET USING ASYMMETRIC GRAPHS

... improve face recognition on Joint Photographic Experts Group ...on face recognition is realized by discrete cosine transform (DCT), and improved compression coding and two dimensions principal ... See full document

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An Overview – Artificial Neural Network Based Advanced Face and Non-Face Recognition

... the face and non-face recognition system is represented in ...input face image is gives as an input the second stage is a 2D-DCT from the discrete cosine transform coefficients every input ... See full document

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Optimized Face Recognition Technique based on PCA and RBF Neural Network

... machine recognition and computer vision, face recognition using optimized Radial Basis Function (RBF) Network is a very efficient solution for the researchers working in this ...In face ... See full document

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Neural Network Based Face Recognition Using RBFN Classifier

... the neural network approaches equivalent to, or slightly better than, other ...RBF neural networks serve as an excellent role for pattern applications carried out to make the learning process, this ... See full document

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Robust Face Recognition Based on Convolutional Neural Network

... multi-layer neural network algorithm of machine learning field and artificial intelligence (AI), has obtained great ...the training method of the deep network, the parallel calculation ... See full document

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Skin Tone Based Face Recognition and Training using Neural Network

... detect face area from database and then its further proceeded to face ...for face detection in color images with multiple faces and skin tone regions is ...rules based on the skin color ... See full document

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Application of Neural Networks with CSD Coefficients for Human Face Recognition

... LUT based array was used to realize the implementation of AF where each output value corresponds to a unique input address from a series of uniformly spaced input-output values [46], ...and faster way to ... See full document

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FACE DETECTION AND RECOGNITION USING MORPHOLOGICAL SHARED-WEIGHT NEURAL NETWORK

... experience a gradual decrease in performance, eventually hitting zero recognition at 40 neurons. As the graph in Fig. 4 indicates, efficiency increases as the number of neurons increases from 5 to 10; it remains ... See full document

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Alternative Face Recognition Using Neural Network

... image recognition Using Neural network to check users As now days there are many security issues especially key areas such as banks , Government compound, universities as creating many challenges ... See full document

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Review on Face Recognition Using Fuzzy Logic and Neural Techniques Pooja, II Shaloo Kikan Student M.Tech., Electronics & Communication Engg., P.D.M. College, Bahadurgarh, India

... research. Face, Voice, Lip Movements, Hand geometry, Odors, Gait, Iris, Retina, Fingerprint are the most commonly used authentication ...broken. Face Recognition is one of the methods to identify the ... See full document

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Online Full Text

... using face and fingerprint features, has long been considered common in personal ...our method can assure a higher level of forge resistance than that of the systems using single biometric ... See full document

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IRIS Recognition System using Neural Network and Genetic Algorithm

... iris recognition is a reliable human identification ...iris recognition consists of iris image capturing, pre-processing, and recognition of iris region in eye ... See full document

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Biometric Recognition Using Advanced Neural Networks

... the face image is ...image based on threshold values .The input face image is transformed into binary face image for retaining the important ...the face region ... See full document

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