The random forest (RF) classifier is an ensemble classifier derived from decision tree idea. However the parallel operations of several classifiers along with use of randomness in sample and feature selection has made the random forest a very strong classifier with accuracy rates comparable to most of currently used classifiers. Although, the use of random forest on handwritten digits has been ...

Recognition of handwritten Arabic text awaits accurate recognition solutions. There are many difficulties facing a good handwritten Arabic recognition system such as unlimited variation in human handwriting, similarities of distinct character shapes, and their position in the word. The typical Optical Character Recognition (OCR) systems are based mainly on three stages, preprocessing, features ...

This paper presents a comparative study for window-based descriptors on the application of Arabic handwritten alphabet recognition. We show a detailed experimental evaluation of different descriptors with several classifiers. The objective of the paper is to evaluate different window-based descriptors on the problem of Arabic letter recognition. Our experiments clearly show that they perform ve...

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...

This paper will emphasize the necessity of having alternative man-machine interfaces to the already established keyboard and mouse, speciically for people residing in developing countries. An on-line system is presented for recognizing handwritten Farsi (Persian) and Arabic digits. This recognition scheme is based on statistical techniques which will be brieey explained. Then, the grounds will ...

A writer independent handwriting recognition system must be able to recognize a wide variety of handwriting styles, while attempting to obtain a high degree of recognition accuracy. As the number of writing styles increases, so does the variability of data distribution. We describe here a template-based system using a string matching distance measure of linear time complexity for the recognitio...

In this paper we present a novel approach for the recognition of offline Arabic handwritten text that is motivated by the Arabic letters’ conditional joining rules. A lexicon of Arabic words can be expressed in terms of a new alphabet of PAWs (Part of Arabic Word). PAWs can be expressed in terms of letters. The recognition problem is decomposed into two problems that are solved simultaneously. ...

A new representation method for recognition of handwritten charcters, called LLF (Local Line Fitting), is presented. The method, based on simple geometric operations, is very efficient and yields a relatively low-dimensional and distortion invariant representation. An important feature of the approach is that no preprocessing of the input image is required. A black & white or gray-scale pixel r...