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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 suit. 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 tribe to d crude(a) automated systems to perform this task.Optica1 Character Recognition, OCR, is the process of converting scanned escorts of tool printed or hand-written school text into a computer processab1e format. The process of optica1 portion intuition of any script can be broad1y befuddled rase into five branchs: * Preprocessing * Segmentation * Feature lineage * sort * Post-processing The preprocessing leg is a collection of trading operations that employ successive transformations on an image. It takes in a raw image, reduces to-do and distortion, removes 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) arranged 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 circumscribe of features that can be used to uniquely break the text segment. The selection of a stable and example set of features is the middle of pattern realization system design. Among the different design issues complicated in bui1ding an OCR system, perhaps the most o f import one is the se1ection of the qualit! y 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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