Off-line recognition of text play a significant role in several application such as the automatic sorting of postal mail or editing old documents. It is the ability of the computer to distinguish characters and words. Automatic off-line recognition of text can be divided into the recognition of printed and handwritten characters. Off-line Arabic handwriting recognition still faces great challen...

Optical character recognition involves distinguishing, grouping, and, in specific cases, remedying optical images/designs a computerized picture. Online printed text, disconnected and transcribed reports may be every way focused on for acknowledgment. Various applications, example, postal addresses, handled rapidly. Character acknowledgment depends intensely division, include extraction, groupi...

HOCR is abbreviated as Handwritten Optical Character Recognition. HOCR is a process of recognition of different handwritten characters from a digital image of documents. Handwritten automatic character recognition has attracted many researchers all over the world to contribute handwritten character recognition domain. Shape identification and feature extraction is very important part of any cha...

With the advancement in the technology the jobs for the human kind is becoming more and more tedious with millions and trillions of documents waiting to be processed. Certainly, such a daunting tasks are next to impossible to be completed manually. Over a period, the things are getting automatically done with the robots or intelligent computer systems. Optical character recognition is one of su...

In this paper, we have proposed approach for skew detection and correction of handwritten and printed Gujarati document using Linear Regression method/technique. Skew detection and correction is important for any recognition system as it directly affects the recognition process of characters/documents. The proposed method work involves linear regression formula for detecting angle of rotation a...

In this paper, we present a novel method for recognition of unconstrained handwritten Arabic alphanumeric characters. The algorithm binarizes the character image, smoothes it and extracts its contour. A novel approach for polygonal approximation of handwritten character contours is applied. The directions and length features are extracted from the polygonal approximation. These features are use...