Facial Recognition Using Neural Networks over GPGPU

Exploring Multi-level Parallelism for Large-Scale Spiking Neural Networks

Several biologically inspired applications have been motivated by Spiking Neural Networks (SNNs) such as the Hodgkin-Huxley (HH) and Izhikevich models, owing to their high biological accuracy. The inherent massively parallel nature of the SNN simulations makes them a good fit for heterogeneous computing resources such as the General Purpose Graphical Processing Unit (GPGPU) clusters. In this re...

Introducing a method for extracting features from facial images based on applying transformations to features obtained from convolutional neural networks

In pattern recognition, features are denoting some measurable characteristics of an observed phenomenon and feature extraction is the procedure of measuring these characteristics. A set of features can be expressed by a feature vector which is used as the input data of a system. An efficient feature extraction method can improve the performance of a machine learning system such as face recognit...

Face Detection with methods based on color by using Artificial Neural Network

The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overcoming upon these problems based on skin color datum. The researcher gathered a face database of 30 individuals consisting of ov...

Recognition of Handwritten Persian Numbers and Arithmetic Symbols Using Neural Networks

“facial Image Recognition Model Implementation with Artificial Neural Networks Using Dimensions Reduction Techniques Pca”

We propose further mechanism to recognition facial images using a hybrid computing of principal component analysis and artificial neural network. Principal component analysis can used to extract in feature from its facial images using dimensional reduction techniques these feature will then be used to recognize in facial image in different environment .the feature of facial images, after conver...