Optical Character Recognition (OCR) is a very old and of great interest in pattern recognition field. In this paper we introduce a very powerful approach to recognize Persian text. We have used morphological operators, especially Hit/Miss operator to descript each sub-word and by using a template matching approach we have tried to classify generated description. We used just one font in two dif...

This paper presents a complete Optical Character Recognition (OCR) system for camera captured image/graphics embedded textual documents for handheld devices. At first, text regions are extracted and skew corrected. Then, these regions are binarized and segmented into lines and characters. Characters are passed into the recognition module. Experimenting with a set of 100 business card images, ca...

Optical character recognition (OCR) systems improve human}machine interaction and are widely used in many areas. The recognition of cursive scripts is a di$cult task as their segmentation su!ers from serious problems. This paper proposes an Arabic OCR system, which uses a recognition-based segmentation technique to overcome the classical segmentation problems. A newly developed Arabic word segm...

A technique is presented that uses visual relationships between word images in a document to improve the recognition of the text it contains. This technique takes advantage of the visual relationships between word images that are usually lost in most conventional optical character recognition (OCR) techniques. The visual relations are defined to be the equivalence that exists between images of ...

Pattern recognition is a well-established field of study and Optical Character Recognition (OCR) has long been seen as one of its important contributions. In this paper we describe the performances of a hybrid classification approach which combines both neural networks and hidden Markov models. This classification technique is dealing with features extracted through the wavelet transform method...

Only a few works has been done for printed devanagari text in the area of optical character recognition. In this paper there is describing about a simple and fast algorithm for detection of italic and bold character in Devanagari script, without recognition of actual character. Here present an automatic information which tells us about the font type phase in the way of weight and slope. The pro...

Abstract. The past few decades have witnessed an intensive research on optical character recognition (OCR) for Roman, Chinese, and Japanese scripts. A lot of work has been also reported on OCR efforts for various Indian scripts, like Devanagari, Bangla, Oriya, Tamil, Telugu, Malayalam, Kannada, Gurmukhi, Gujarati, etc. In this paper, we present a review of OCR work on Indian scripts, mainly on ...

We propose a camera-based assistive text reading framework to help blind persons read text labels and product packaging from hand-held objects in their daily lives. We first propose an efficient and effective motion based method to define a region of interest (ROI) in the video by asking the user to shake the object. To automatically localize the text regions from the object ROI, we propose a n...

This paper introduces an innovative, efficient and realtime cost beneficial technique that enables user to hear the contents of documents/text images instead of reading through them. It combines the concept of Optical Character Recognition (OCR) and Text to Speech Synthesiser (TTS) in MATLAB R2011b. This kind of system enables visually impaired people to interact with computers effectively thro...