Script Identification From Multi-Script Handwritten Documents

Pawan Kumar Singh

ISBN 10: 6139882192 / ISBN 13: 9786139882199

Published by LAP LAMBERT Academic Publishing Jul 2018, 2018

About this Item

Neuware -In recent years, the escalating use of physical documents has made to progress towards the creation of electronic documents to facilitate easy communication and storage of documents. However, the usage of physical documents is still prevalent in most of the communications. Also, the fact that paper is a very comfortable and secured medium to deal with ensures that the demand for physical documents continues for many more years to come. So, there is a great demand for software, which automatically extracts, analyzes and stores information from physical documents for later retrieval. A multi-lingual document such as railway reservation forms, question papers, language translation books and money-order forms may contain text in more than one script/language. Also, one script could be used to write more than one language. Optical Character Recognition (OCR) module, designed for a specific language, will not work for such multilingual documents. Hence, a pre-OCR script identification system is very essential before running an individual OCR for a specific language. In this book, the problem of script identification is addressed here.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch.

Seller Inventory # 9786139882199

Bibliographic Details

• Title: Script Identification From Multi-Script Handwritten Documents
• Publisher: LAP LAMBERT Academic Publishing Jul 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 6139882192
• ISBN 13: 9786139882199
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 179 grams

About this title

Synopsis

In recent years, the escalating use of physical documents has made to progress towards the creation of electronic documents to facilitate easy communication and storage of documents. However, the usage of physical documents is still prevalent in most of the communications. Also, the fact that paper is a very comfortable and secured medium to deal with ensures that the demand for physical documents continues for many more years to come. So, there is a great demand for software, which automatically extracts, analyzes and stores information from physical documents for later retrieval. A multi-lingual document such as railway reservation forms, question papers, language translation books and money-order forms may contain text in more than one script/language. Also, one script could be used to write more than one language. Optical Character Recognition (OCR) module, designed for a specific language, will not work for such multilingual documents. Hence, a pre-OCR script identification system is very essential before running an individual OCR for a specific language. In this book, the problem of script identification is addressed here.In recent years, the escalating use of physical documents has made to progress towards the creation of electronic documents to facilitate easy communication and storage of documents. However, the usage of physical documents is still prevalent in most of the communications. Also, the fact that paper is a very comfortable and secured medium to deal with ensures that the demand for physical documents continues for many more years to come. So, there is a great demand for software, which automatically extracts, analyzes and stores information from physical documents for later retrieval. A multi-lingual document such as railway reservation forms, question papers, language translation books and money-order forms may contain text in more than one script/language. Also, one script could be used to write more than one language. Optical Character Recognition (OCR) module, designed for a specific language, will not work for such multilingual documents. Hence, a pre-OCR script identification system is very essential before running an individual OCR for a specific language. In this book, the problem of script identification is addressed here.