Handwriting Recognition System- A Review
Pooja Yadav, Nidhika Yadav · 2015
Handwriting recognition has been an active and challenging area of research. Handwriting recognition system plays a very important role in today’s world. Handwriting recognition is very popular and computationally expensive work. At present time it is very difficult to find correct meaning of handwritten documents. There are many areas where we need to recognize the words, alphabets and digit. There are many application postal addresses, bank cheque where we need to recognize handwriting. This review paper will focus on different technique which is used on handwriting recognition. There are basically two different types of handwriting recognition system online and offline handwriting recognition. There are many approaches are present for offline handwriting recognition system. This review paper will represent the limitations and superiorities of different technique which is used for handwriting recognition system. So handwriting recognition has been studied from many decades. Handwriting recognition system can be used to solve many complex problems and can make human’s work easy. So this paper is an overview of different approaches of handwriting recognition system with their limitations and accuracy rate. General Terms Offline handwriting recognition, neural network, back propagation algorithm, feature extraction, segmentation and training, fuzzy neural network.