Handwritten Text Recognizer

Handwritten Text Recognizer

Harshad Marathe1, Dhiraj Kasar2, Rushikesh Patil3, Bhushan Tayade4

Dept. of Computer Engineering SSBT’s College of Engineering and Technology

Abstract— The aim of the project is to develop OCR software for Hindi text recognition. OCR is an optical text recognition and is the mechanical or electronic translation of images of typewritten or handwritten (usually captured by a scanner) into machine-editable text. Text recognition is used most often to describe the ability of computer to translate printer or human writing into text.Using the machine learning algorithms, we are going to recognize handwritten text.The first step is image acquisition which acquires the scanned image followed by noise filtering, smoothing and normalization of scanned image, rendering image suitable for segmentation where image is decomposed into sub images. Feature Extraction improves recognition rate and misclassification. We are going to use text extraction and edge detection algorithm for training the ma- chine learning model to classify and recognize the handwritten text. Existing Applications which are similar to our application contain many mismatches and errors that will be rectified in our project which increases the accuracy of the text recognition