Uddin, JiaHussain, Shoumin RafsunNelema, Mahima NoorKabir, Fahim MPatwary, Mohammad Rasheduzzaman2021-05-292021-05-2920202020-04ID 16101043ID 20341035ID 16101047ID 16101023http://dspace.bracu.ac.bd/xmlui/handle/10361/14438Cataloged from PDF version of thesis.Includes bibliographical references (pages 32-33).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.Handwritten character recognition is a process of a system to access handwritten material from various sources such as paper records, photographs, touch screen apps, etc. The identification of handwritten and electronic character is a growing area of study and has wide uses in banks, offices and industries. Our Main purpose for this initiative is to develop an professional framework for the defense Indus tries. In this method a specific character of languages can be effectively identified by following a sequence using neural network. Neural computers in corporate data parallelism, and run from the processing of an ordinary computer in a special way. Developments of a certain desirable quality which classifies the input data into classes are made by neural computers after the starting state information is obtained.33 pagesenBrac University theses 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.Character recognitionHandwritten characterProfessional Frame-workSecurity ParallelismNeural NetworkNeural networks (Computer science)Thesis