Hybrid of Rough Neural Networks for Arabic/Farsi Handwriting Recognition

Hybrid of Rough Neural Networks for Arabic/Farsi Handwriting Recognition

Handwritten character recognition is one of the focused areas of research in the field of Pattern Recognition. In this paper, a hybrid model of rough neural network has been developed for recognizing isolated Arabic/Farsi digital characters. It solves the neural network problems; proneness to overfitting, and the empirical nature of model development using rough sets and the dissimilarity analy...

Oo-line Cursive Handwriting Recognition Using Recurrent Neural Networks 2 Handwriting Recognition 10 2.1 a Taxonomy of Handwriting Recognition Problems

Computer handwriting recognition ooers a new way of improving the human-computer interface and of enabling computers to read and process the many handwritten documents that must currently be processed manually. This thesis describes the design of a system that can transcribe handwritten documents. First, a review of the aims and applications of computer handwriting recognition is presented, fol...

Offline cursive handwriting recognition system based on hybrid Markov model and neural networks

An offline cursive handwriting recognition system, based on hybrid of Neural Networks (NN) and Hidden Markov Models (HMM), is described in this paper. Applying SegRec principle, the recognizer does not make hard decision at the character segmentation process. Instead, it delays the character segmentation to the recognition stage by generating a segmentation graph that describes all possible way...

Offline Arabic Handwriting Recognition with Multidimensional Recurrent Neural Networks

Offline handwriting recognition is usually performed by first extracting a sequence of features from the image, then using either a hidden Markov model (HMM) [9] or an HMM / neural network hybrid [10] to transcribe the features. However a system trained directly on pixel data has several potential advantages. One is that defining input features suitable for an HMM requires considerable time and...

Handwriting recognition using neural networks and hidden Markov models