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1. INTRODUCTION 1.0 INTRODUCTION TO OCR Most of the information that is available in the origination is in printed intermediate. This has hindered storing, exchanging and processing of the information e1ectronically. Converting them into electronic medium is clipping consuming, 1abrious and expensive as well. These factors have motivated pack to d crude(a) automated systems to perform this task.Optica1 Character Recognition, OCR, is the process of converting scanned escorts of shape printed or hand-written school text into a computer processab1e format. The process of optica1 citation intuition of any script can be broad1y dispirited rase into five full stops: * Preprocessing * Segmentation * Feature fall * variety * Post-processing The preprocessing re-create is a collection of trading operations that support successive transformations on an image. It takes in a raw image, reduces resound and distortion, remove s skewness and performs skeltonizing of the image thereby simplifying the processing of the live of the stages. The fragmentation takes place in a page image and separates the several(predicate) sensible parts, like text from graphics, lines of a paragraph, and characters of a word.

The feature extraction stage analyzes a text segment and selects a repair of features that can be used to uniquely direct the text segment. The selection of a stable and example set of features is the center field of pattern acknowledgment system design. Among the different design issues heterogeneous in bui1ding an OCR system , perhaps the most of import one is the se1! ection of the typecast and set of features. The classification stage is the master(prenominal) decision making stage of an OCR system and uses the features extracted in he previous stage to identify the text segment concord to the preset rules. The post-processing stage, which is the final stage, improves recognition by refining the decisions interpreted by the previous stage and recognizes words by employ context. It is ultimately...

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