Biswas, RubelJahan, NusratNafiz, Mirza Abdullah Al2017-01-192017-01-1920162016ID 12201001ID 13101230http://hdl.handle.net/10361/7620Cataloged from PDF version of thesis report.Includes bibliographical references (page 34-36).This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.Extraction and recognition of mathematical characters and equations for documented images is important for many applications, artificially intelligent systems in particular to store or analyze mathematical data. It is vital that efficient and robust approaches are utilized in this sector. Recognition methodologies that are widely used at present work very well for nonmathematical data, but for mathematical data, the results are somewhat unsatisfying. Moreover, precision is important while extracting mathematical texts. In our thesis we have studied a number of text detection algorithms and used image segmentation methodologies, template matching, SVM (Support Vector Machine) to detect and recognize mathematical symbols from a document image.36 pagesenBRAC 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.Mathematical symbolsSegmentationMathematical charactersThesis