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Proposed algorithm is a face recognition algorithm from video using Generalized mean Deep Learning Neural Network. Generalized mean provides fast convergence of the feature set and Deep learning neural network is enhanced using wavelet transform as it improves the classification efficiency of the neural network. The performance of the proposed algorithm is evaluated on PaSC and Youtube dataset. The...
An improved face detection method is proposed on the basis of traditional adaboost algorithm. The training samples are not distinguished in the traditional face detection based on adaboost algorithm, which results in ignoring face samples in the process of training and the face feature information can't be fully shown. In addition, because face samples and non-face samples are treated equally, all...
In recent years, deep learning algorithm has been one of the most used method in machine learning. Success rate of the most popular machine learning problems has been increased by using it. In this work, we develop an eye detection method by using a deep neural network. The designed network, which is accepted as an input by Caffe, has 3 convolution layers and 3 max pooling layers. This model has been...
This paper analyses the security of a recently proposed chaos based cryptosystem. It shows that the cryptosystem under study has weak diffusion and presents a cryptanalysis that allows the attacker to decrypt any encrypted image. More precisely, it proposes a divide-and-conquer attack that allows an attacker to recover the internal states of the cryptosystem and to use them in order to encrypt or...
In order to raise the efficiency of face recognition, a method based on back-propagation (BP) neural network and probabilistic neural network (PNN) integration was introduced. The method uses the kernel independent component analysis (KICA) to extract facial features, puts eigenvectors into the BP neural networks and PNN to learn, and outputs the two classification and recognition results by relative...
In this paper, we propose a pedestrian analysis solution helpful for adaptive content delivery and interest measurement for outdoor advertisement displays. The proposed system has built-in camera on the top panel of such displays which capture the real time viewers' frames. The captured frames have been analyzed for detection of faces using Viola-Jones algorithm. The detected faces have been processed...
In this work, we proposed a novel authentication system based on facial features. The proposed method is based on PCA and LDA for feature extraction, these extracted features are combined using wavelet fusion. In this work we use neural networks to classify extracted features of faces. The proposed method consists of six steps: i) Extraction of images from the database, ii) Preprocessing, iii) Feature...
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