OCR Text Extraction

International Journal of Engineering and Management Research

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Field Value
Title OCR Text Extraction
Creator Alan Jiju
Shaun Tuscano
Chetana Badgujar
Subject OpenCV
Optical Character Reader (OCR)
Document Detection
Description This research tries to find out a methodology through which any data from the daily-use printed bills and invoices can be extracted. The data from these bills or invoices can be used extensively later on – such as machine learning or statistical analysis. This research focuses on extraction of final bill-amount, itinerary, date and similar data from bills and invoices as they encapsulate an ample amount of information about the users purchases, likes or dislikes etc. Optical Character Recognition (OCR) technology is a system that provides a full alphanumeric recognition of printed or handwritten characters from images. Initially, OpenCV has been used to detect the bill or invoice from the image and filter out the unnecessary noise from the image. Then intermediate image is passed for further processing using Tesseract OCR engine, which is an optical character recognition engine. Tesseract intends to apply Text Segmentation in order to extract written text in various fonts and languages. Our methodology proves to be highly accurate while tested on a variety of input images of bills and invoices.
Publisher Vandana Publications
Date 2021-04-30
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Identifier https://www.ijemr.net/ojs/index.php/ojs/article/view/747
Source International Journal of Engineering and Management Research; Vol. 11 No. 2 (2021): April Issue; 83-86
Language eng
Relation https://www.ijemr.net/ojs/index.php/ojs/article/view/747/837
Rights Copyright (c) 2021 International Journal of Engineering and Management Research

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