UGC Approved Journal no 63975(19)

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Published in:

Volume 10 Issue 6
June-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2306917


Registration ID:
520164

Page Number

j119-j124

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Title

ANALYSIS OF OPTICAL CHARACTER RECOGNITION

Abstract

OCR expanded as optical character recognition, is a subset of pattern recognition systems and is an active research area of significant scientific and practical importance. His OCR technique uses an optical scanner to first digitise typed letters. Following the identification and segmentation of each character, the resulting character picture is forwarded to the preprocessor for normalization. The characteristics are then classified based on certain traits that were extracted from them. There are numerous methods for feature extraction, each with a different purpose, and feature extraction is a crucial step. This paper provides an overview of feature extraction methods for character recognition. The selection of the feature extraction method is the most important factor in achieving high recognition performance in a character recognition system. Different feature extraction methods are designed for different character representations. The most effective feature extraction technique should be chosen for a given application after a number of promising methods have been identified and empirically tested. Today, many paper documents are digitized, facilitating information processing such as searching, analysis, and conversion. This article presents his OCR usability analysis for automated data entry. Our research looked at the entire process of digitizing print. Scanning, data indexing, approval, market. The study showed the recognition of printed text is reliable and data processing is significantly faster. On the contrary, handwritten text seemed difficult for his OCR system to recognize

Key Words

String recognition, Optical measurement, OCR classification, printed text identification, barcodes, data indexation.

Cite This Article

"ANALYSIS OF OPTICAL CHARACTER RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.j119-j124, June-2023, Available :http://www.jetir.org/papers/JETIR2306917.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ANALYSIS OF OPTICAL CHARACTER RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppj119-j124, June-2023, Available at : http://www.jetir.org/papers/JETIR2306917.pdf

Publication Details

Published Paper ID: JETIR2306917
Registration ID: 520164
Published In: Volume 10 | Issue 6 | Year June-2023
DOI (Digital Object Identifier):
Page No: j119-j124
Country: Chennai / Thiruvallur , TamilNadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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