English Handwritten Character Recognition using LAMASTAR Neural Network

Handwriting recognition is highly researched area from several years with different techniques. In handwriting recognition technique there are two methods one is online method and other is offline method. Image recognition is main aspect of handwriting recognition process. In image recognition size of image, angle of image and quality of the image these are the things taken care of precisely. To make machines more intelligent, the developers are dividing into to technologies like machine learning and deep learning techniques. A human can learn to perform a task by practice and repeating it repeatedly so that it memorizes how to perform the task. Then the neurons in his brains automatically trigger and they can quickly perform the task they have learned. Deep learning is also very similar to this. It uses different types of neural network architecture for different types of problems. Convolution neural Network (CNN) is very effective technique when it comes to image recognition and handwriting.