Optical character recognition (OCR) systems for machine-printed documents typically require large numbers of font styles and character models to work well. When given a document printed in an unseen font, the performance of those systems degrade even in the absence of noise. In this paper, we perform OCR in an unsupervised fashion without using any character models by using a cryptogram decodin...

Optical Character Recognition (OCR) has been an attractive research area for the last three decades and mature OCR systems reporting near to 100% recognition rates are available for many scripts/languages today. Despite these developments, research on recognition of text in many languages is still in its early days, Urdu being one of them. The limited existing literature on Urdu OCR is either l...

Optical Character Recognition (OCR) is a form of computer vision that extracts alphanumeric characters from a digital image. The technology can be used for digitizing printed text, handwriting recognition, and making digital images searchable for text. Following the paper, an implementation of OCR Recognition for Devnagari script in JAVA will be presented and analysed. Keywords— JNI, CLP, XCLP.

This paper discusses the performance of Fourier descriptors and Hu’s seven moment invariants for an Optical Character Recognition (OCR) engine developed for 3D model-based object recognition applications.

At present scenario, there is growing demand for the software system to recognize characters in a computer system when information is scanned through paper documents. This paper presents detailed review in the field of Optical Character Recognition. Various techniques are determined that have been proposed to realize the center of character recognition in an optical character recognition system...

To handle the variety of scene characters, we propose a cooperative multiple-hypothesis framework which consists of an image operator set module, an Optical Character Recognition (OCR) module and an integration module. Multiple image operators activated by multiple parameters probe suspected character regions. The OCR module is then applied to each suspected region and returns multiple candidat...

Primary task of this master’s thesis is to create a theoretical and practical basis of preprocessing of printed text for optical character recognition using forward-feed neural networks. Demonstration application was created and its parameters were set according to results of realized experiments. Project definition and task determination 1. Write a introduction about the problematics of optica...

Text labels in raster maps provide valuable geospatial information by associating geospatial locations with geographical names. Although present commercial optical character recognition (OCR) products can achieve a high recognition rate on documents, text recognition on raster maps is still challenging due to the varying text orientations and the overlapping between text labels. This paper pres...