LAUSR

Face recognition has received significant attention in the recent past and numerous applications have deployed. Face recognition systems produce pleasing performance under controlled scenarios, and they produce a poor performance with real-world scenarios. High recognition rate and less training time are the two primary requirements in face recognition system. In this survey, various neural network based classification techniques for face recognition application are considered, such as Artificial Neural Network, Adaptive CNN (ACNN), convolutional neural network, Extreme Learning Machine and probabilistic neural network. The accuracy is calculated based on local, global and hybrid feature vector. Finally, paper summaries the algorithms in-terms of some crucial parameters and highlights the suitable algorithm for various applications.