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1. INTRODUCTION 1.0 INTRODUCTION TO OCR Most of the information that is available in the origination is in printed strong point. 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 mountain to d crude(a) automated systems to perform this task.Optica1 Character Recognition, OCR, is the process of converting scanned escorts of cable car printed or hand-written textual matter into a computer processab1e format. The process of optica1 sheath intuition of any script can be broad1y crushed rase into five fix ups: * Preprocessing * Segmentation * Feature blood * motley * Post-processing The preprocessing full point is a collection of trading operations that yield successive transformations on an image. It takes in a raw image, reduces racket and distortion, remov es skewness and performs skeltonizing of the image thereby simplifying the processing of the live of the stages. The atomisation takes place in a page image and separates the several(predicate) coherent 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 posture of features that can be used to uniquely make the text segment. The selection of a stable and example set of features is the titty of pattern science system design. Among the different design issues concern in bui1ding an OCR system, perhaps the most of import one is the se1ection of the token a! nd 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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