Multilayer perceptron for face recognition

A Parallel Framework for Multilayer Perceptron for Human Face Recognition

Artificial neural networks have already shown their success in face recognition and similar complex pattern recognition tasks. However, a major disadvantage of the technique is that it is extremely slow during training for larger classes and hence not suitable for real-time complex problems such as pattern recognition. This is an attempt to develop a parallel framework for the training algorith...

Recognition of Text Image Using Multilayer Perceptron

—The biggest challenge in the field of image processing is to recognize documents both in printed and handwritten format. Optical Character Recognition (OCR) is a type of document image analysis where scanned digital image that contains either machine printed or handwritten script input into an OCR software engine and translating it into an editable machine readable digital text format. A Neura...

A Mixture of Multilayer Perceptron Experts Network for Modeling Face/Nonface Recognition in Cortical Face Processing Regions

Recent studies in neurobiology and especially in neuroimaging report that a gating mechanism prior to face processing levels of human visual system, facilitates the face/nonface recognition task. In accordance to these biological evidences, we propose a face/nonface recognition model which makes use of mixture of experts network. In order to improve the face/nonface recognition accuracy, the ou...

Design of Multilayer Perceptron Neural Network for Mental Task Recognition

BCI (Brain Computer Interface) represents a direct communication between the neuron action of brain and a computer system. The main aim of the BCI is to translate brain activity into commands for the computer. Electroencephalogram (EEG) is used to captures the brain electrical signals. It is highly difficult to convert these measured brain electrical signals into commands. The steps involved to...

Multilayer Perceptron Based Hierarchical Acoustic Modeling for Automatic Speech Recognition