This paper addresses the system’s aspects of OCR solutions in the context of digital content re-mastering. It analyzes the unique requirements and challenges to implement a reliable OCR system in a high-volume and unattended environment. A new reliability metric is proposed and a practical solution based on the combination of multiple commercial OCR engines is introduced. Experimental results s...

This paper presents a novel approach for designing a semi-automatic adaptive OCR for large document image collections in digital libraries. We describe an interactive system for continuous improvement of the results of the OCR. In this paper a semi-automatic and adaptive system is implemented. Applicability of our design for the recognition of Indian Languages is demonstrated. Recognition error...

We propose a mathematical knowledge browser which helps people to read mathematical documents. By the browser printed mathematical documents can be scanned and recognized by OCR (Optical Character Recognition). Then the meta-information (e.g. title, author) and the logical structure (e.g. section, theorem) of the documents are automatically extracted. The purpose of this paper is to show the ex...

The aim of the present work is to recognise printed Tamil text. Though commercial Optical Character Recognition (OCR) packages are available in the market for Roman Script, not much work has been done in the field of OCR for Indian languages. Indian scripts usually have a large number of symbols and hence, recognition is a challenging task. In the current context, a complete OCR in printed Tami...

Optical Character Recognition (OCR) document. WARNING! Spelling errors might subsist. In order to access to the original document in image form, click on "Original" button on 1st page. Optical Character Recognition (OCR) document. WARNING! Spelling errors might subsist. In order to access to the original document in image form, click on "Original" button on 1st page. Optical Character Recogniti...

This paper describes a new automatic spelling correction program to deal with OCR generated errors. The method used here is based on three principles: 1. Approximate string matching between the misspellings and the terms occuring in the database as opposed to the entire dictionary 2. Local information obtained from the individual documents 3. The use of a confusion matrix, which contains inform...

We present several proposals for extending the Open Community Runtime (OCR) specification. The extension are identifiers with local validity, which use the concept of futures to provide OCR implementations more optimization opportunities, labeled GUIDs with creator functions, which are based on the local identifiers and allow the developer to create arrays of OCR objects that are safe from race...

Abstract Optical Character Recognition (OCR) has become one of the most important techniques in computer vision, given that it can easily obtain information from various images. However, existing OCR cannot recognition Telugu literature characters (Handwritten Golusu Kattu writing) due to a lack datasets and trained deep Convolutional Neural Networks (CNN). Since Kakatiya Empire (12 th 14 centu...