1. Detect and Implement Facial Modes in Image on FPGA using Multilayer Neural Network

Ali Abdolazimi; Amir Sabbagh Molahosseini; Farshid Keynia

Volume 10, Issue 03 , Summer 2021, , Pages 135-140

Abstract
  Face is a unique characteristic of the human. Detecting the state of the human face, due to its difficulty on the one hand and its many useful features on the other hand, is one of the most important issues in the image processing. In this paper, a five-layer perceptron artificial neural network (MLP) ...  Read More

2. Neural Network Performance Analysis for Real Time Hand Gesture Tracking Based on Hu Moment and Hybrid Features

Fardad Farrokhi; Mehdi Heydarian; Kaveh Kangarloo

Volume 03, Issue 02 , Spring 2014, , Pages 61-72

Abstract
  This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional ...  Read More