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Number Recognition from Captured Images

by Randhir J. Patil, Akshay G. Bhosale
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 3
Year of Publication: 2016
Authors: Randhir J. Patil, Akshay G. Bhosale

Randhir J. Patil, Akshay G. Bhosale . Number Recognition from Captured Images. International Journal of Computer Applications. 146, 3 ( Jul 2016), 29-32. DOI=10.5120/ijca2016910660

@article{ 10.5120/ijca2016910660,
author = { Randhir J. Patil, Akshay G. Bhosale },
title = { Number Recognition from Captured Images },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 3 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 29-32 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016910660 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:49:19.961456+05:30
%A Randhir J. Patil
%A Akshay G. Bhosale
%T Number Recognition from Captured Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 3
%P 29-32
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

Now-a-days because of digitization, it is very important to have all the data in the form of soft copy so that it is easy to store and maintain. Often the handwritten documents are available, but again if we want to use the data written in that document then we need to type that data in any word processing software and then use it. This is very time consuming and tedious job. In this paper an attempt is made to automatically recognize numbers in the document by capturing images of that document. Till now emphasis is given only on recognizing digits or numbers from images. This methodology is implemented in automatic marks filling system. This system captures images of the tables in which marks are written by the teacher in the students’ answer book, recognize the numbers or marks from it and fill the same in appropriate database on the computer. The fundamental technique used here is Dynamic Time Warping (DTW). Although this technique is used for speech processing, this paper describes its exclusive use in number recognition from its images. The system is implemented and simulated in MATLAB.

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Index Terms

Computer Science
Information Sciences


Image Processing DTW Technique Data Acquisition Data Transformation Number Recognition Automatic Marks filling System.