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Despite of advancement in face recognition, it has received much more attention in last few decades in the field of research and in commercial markets this project proposes an efficient technique for face recognition system based on Deep Learning using Convolutional Neural Network (CNN) with Dlib face alignment. The paper describes the process involved in the face recognition like face alignment and...
Even though there has been enormous research in facial analysis and more sophisticated algorithm, face recognition fails drastically in real time when the facial images are occluded. This paper explains the algorithm and technical concepts behind the high accurate face recognition systems for a 2D frontal images with occlusion for a business requirments. Face recognition is implemented using Convolutional...
The paper presents a novel biometric authentication approach using principal component analysis (PCA), regularized-linear discriminant analysis (R-LDA) and supervised neural networks. Low dimensional feature vectors of human face images are required to drive neural networks effectively. After histogram equalization process each image is presented to PCA or R-LDA for normalization and dimension reduction...
In this paper we discussed and implemented Morphological method for face recognition using fiducial points. A new technique for extracting facial features is suggested here. This method is independent of the face expressions. In recognition process, these fiducial point are fed as inputs to a Back propagation neural network for learning and identifying a person. So with the help of this technique,...
This paper introduces a novel means of neuron coding allowing us to recognize the face of an unknown individual. The algorithm involves the application of segmentation and Discrete Cosine Transform (DCT) and is used to perform the facial recognition after training and classification from a neural network. The algorithm determines features' position and pixel value using image segmentation and DCT...
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