In this paper, a new proposed system for Persian printed numeral characters recognition with emphasis on representation and recognition stages is introduced. For the first time, in Persian optical character recognition, geometrical central moments as character image descriptor and fuzzy min-max neural network for Persian numeral character recognition has been used. Set of different experiments ...

Optical Character Recognition (OCR) is an area of research that has attracted the interest of researchers for the past forty years. Although the subject has been the center topic for many researchers for years, it remains one of the most challenging and exciting areas in pattern recognition. Because of the cursive nature of Persian language, recognition of its characters is more difficult than ...

Character recognition is a new research field in the domain of pattern recognition which deals with the style of writing. Some of the challengeable problems in character identification are changing in the style of writing, font and turns of words and etc. In this paper, the goal is Persian character identification using independent orthogonal moment as the feature extraction technique.The propo...

Persian (Farsi) handwriting is inherently cursive and variable in style. Moreover, many Persian characters have similar body but different secondary strokes e.g. dots. As a result, Persian handwriting recognition is an extremely complex task. Many researchers have tackled the problem by different approaches; however, the research in this field is still in its infancy. In this paper, we propose ...

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...

Automatic Character Recognition has wide variety of applications such as automatic postal mail sorting, number plate recognition and automatic form of reader and entering text from PDA's etc. Cursive script’s Automatic Character Recognition is a complex process facing unique issues unlike other scripts. Many solutions have been proposed in the literature to solve complexities of cursive scripts...

Persian (Farsi) script is totally cursive and each character is written in several different forms depending on its former and later characters in the word. These complexities make automatic handwriting recognition of Persian a very hard problem and there are few contributions trying to work it out. This paper presents a novel practical approach to online recognition of Persian handwriting whic...

Optical Character Recognition (OCR) is a very old and of great interest in pattern recognition field. The recognition of cursive scripts like Persian and Arabic languages is a difficult task as their segmentation suffers from serious problems in different languages. Segmentation is a process of dividing cursive words into smaller parts in order to decrease complexity and increase accuracy of re...

each license plate recognition system is composed of three main parts, namely, license plate detection, character segmentation and character recognition. in this paper, we focus on the improvement and innovation of the character recognition step. for this purpose, a new hierarchical architecture based on support vector machines (svms) is suggested for persian license plate characters recognitio...

-In this paper, a MAP statistical modeling *approach has been utilized to correct and verify Persian names and surname OCR outputs. In addition, an efficient Neural Network based rejection method has been presented and tested. Due to large variety of Persian surnames, a statistical grammar has been added to the MAP strategy, to make new surnames, which are not included in the dictionary. The mo...