Article history: Received 13 January 2012 Received in revised form 22 April 2013 Accepted 22 April 2013 Available online xxxx In Iran like many other countries, the categorization of postal envelopes is executed manually, mostly based on the handwritten addresses and zip codes. That process is still slow and prone to man-made errors. Therefore, having an automated, accurate and efficient system...

Persian handwritten numerals recognition has been a frontier area of research for the last few decades under pattern recognition. Recognition of handwritten numerals is a difficult task owing to various writing styles of individuals. A robust and efficient method for Persian/Arabic handwritten numerals recognition based on K Nearest Neighbors (K-NN) classifier is presented in this paper. The sy...

Nowadays, the scope of machine learning and deep studies is increasing day by day. Handwriting recognition one examples in daily life for this field work. Data storage digital media a method that almost everyone using nowadays. At same time, it has become necessity people to store their notes even take directly environment. As solution need, applications have been developed can recognize number...

This paper discusses the use of fast and customized Dynamic Time Warping method for offline Persian handwriting recognition that could be easily extended to Arabic language. Many systems in this field are based on either Neural Network or Hidden Markov Model that suffer from low recognition rate, sensitivity to noises or wide range of parameters that reduce system performance. The complete syst...