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CAPSTONE PROJECT

                TEAM 22 


ROLL NUMBER NAME
2003A51023 K SAMPATH REDDY
2003A51129 M PRAVALIKA
2003A51088 K JAYAPAL
2003A51231 B RUCHITHA RAO
2003A51078 L NAGESH
2003A51112 B MANITEJA

       Under The Guidence Of

         RAVI CHYTANYA SIR
Assisstant Professor Of CS & AI

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CHARACTER RECOGNITION AND TRANSLATION USING PATTERN MATCHING

TABLE OF CONTENTS ABSTRACT INTRODUCTION PROBLEM STATEMENT INPUT DATA / TOOLS USED EXISTING METHODOLOGY VS PROPOSED METHODOLOGY IMPLEMENTATION WORKING OF APPLICATION FUTURE SCOPE CONCLUSION ABSTRACT Character recognition and translation are vital tasks in the field of natural language processing and computer vision. This paper proposes a novel approach utilizing pattern matching techniques to achieve accurate recognition and translation of characters from images. The proposed system first employs pre-processing techniques to enhance the quality of input images, followed by segmentation to isolate individual characters. Next, a pattern matching algorithm is applied to match the segmented characters with predefined templates. Finally, the recognized characters are translated into the desired language using appropriate linguistic models. Experimental results demonstrate the effectiveness of the proposed method in accurately recognizing and translating characters across various languages an...