Word Extraction Using X-Y Cut Algorithm
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 12
Abstract
Digitization of printed documents is the motivating factor today to work more on text of scanned documents. Conversion of hand written scanned or printed documents into electronically readable form enables to store, exchange and process the valuable information. Text Recognition aims to recognize the text from printed or handwritten document to desired format. Several steps of text recognition include preprocessing, segmentation, feature extraction, classification, post processing. Preprocessing refers to the basic conversion operation of gray Scale image into Binary Image and removal of noisy signal from image. Segmentation does the segment the document image into line by line and extracts each word from segmented line. Feature extraction is calculating the characteristics of character. A classification contains the database and further processing of them. The paper proposes the approach to extract words from based on a set of properties for each connected component in the whole binary image of the document which is independent of languages.
Authors and Affiliations
Simple Batra
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- EP ID EP423561
- DOI 10.9790/9622-0812010104.
- Views 164
- Downloads 0
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