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A Survey on Optical Character Recognition System
In this paper author is doing survey on extracting text from images using Optical Recognition System which consist of two parts online which extracts text while person is writing text and it’s easy for recognition and other is offline which extracts or recognize text from images.
Extracting text from images consists of following modules
Image Acquisition: using this module users can upload image to application
Preprocessing: using this module we can filter or clean the image to make recognition better
Feature Extraction: Means extracting features from images to read characters
Classification & Segmentation: Here each character will be divided into segments and then classify with train characters for recognition.
Here we are using Tesseract software with python to implement above concepts
video file
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