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Bengali character recognition using feature extraction

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dc.contributor.advisor Khan, Mumit Arif, Samiur Rahman 2010-10-04T07:48:20Z 2010-10-04T07:48:20Z 2007 2007-12
dc.identifier.other ID 04201007
dc.description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2007. en_US
dc.description Cataloged from PDF version of thesis report.
dc.description Includes bibliographical references (page 25).
dc.description.abstract The Character Recognition Problem can be assumed as a classification task in which a (portion of an) image is to be given a label among a set of possible labels that represent the characters under consideration. This is the fundamental aspect of feature extraction technique .This generic formulation may lead to quite different settings. Also, if the images of the characters can be obtained optically, we speak of “Optical Character Recognition” (OCR), as opposed to other settings in which input data is obtained by other means. OCR itself can be considered as a subtask of the more general problem of “Document Analysis or Understanding”, where the goal is to obtain a symbolic representation of a digital image of the document under consideration that include not only the recognized text (characters), but also other document components and their relationship. In this thesis I will discuss various feature extraction techniques and later I will see how zoning can be used to build an efficient Bengali character recognition system. Different feature extraction techniques are used to recognize different representations of characters for example binary characters, character contours, skeletons (thinned characters) or gray level sub images of each individual character. The feature extraction methods are distinguished in terms of invariance properties, re-constructability and expected distortions and variability of characters. When a feature extraction method is chosen we need to consider it in terms of efficient application of the system and time consideration for building such system. en_US
dc.description.statementofresponsibility Samiur Rahman Arif
dc.format.extent 26 pages
dc.language.iso en
dc.publisher BRAC University en_US
dc.rights BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Computer science and engineering
dc.title Bengali character recognition using feature extraction en_US
dc.type Thesis en_US
dc.contributor.department Department of Computer Science and Engineering, BRAC University B. Computer Science and Engineering

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