The week's pick
Random Articles
Reseach Article
Number Recognition from Captured Images
| 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 |
10.5120/ijca2016910660
|
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
Abstract
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.
References
- ChadawanIttichaichareon,SiwatSuksri, and ThaweesakYingthawornusuk, “ Speech Recognition Using MFCC,” International Conference on Computer Graphics, Simulation and Modeling(ICGSM’2012),pp.135-138, July 28-29, 2012.
- Fang Zheng, Guoliang Zhang and Zhanjiang Song, “COMPARISON OF DIFFERENT IMPLEMENTATIONS OF MFCC,” Journal Computer science & Technology, 16(6): 582-589, Sept. 2001.
- Yan-Sheng Lin and Chang-PengJi, “Research on Improved Algorithm of DTW in Speech Recognition,” International Conference on Computer Application and System Modeling (ICCASM 2010), pp.418-421, 2010 IEEE.
- ShivankerDevDhingra, GeetaNijhawan, and PoonamPandit, “ISOLATED SPEECH RECOGNITION USING MFCC AND DTW,” International Journal of advanced Research in Electrical,Electronics and Instrumentation Engineering, Vol.2, Issue 8, August 2013.
- Li Yang, Le Jing, Yang Yuxiang, and Wang Jian, “Improvement Algorithm of DTW on Isolated-Word Recognition”, International Conference 2011 IEEE.
- Shicheng Li, and HaipengRen, “An isolated word recognition system based on DSP and improved dynamic time warping algorithm,”pp.136-139, International Conference 2010 IEEE.
- LindasalwaMuda, MumtajBegam and I.Elamvazuthi, “Voice Recognition Algorithm using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time warping (DTW)Technique”, JOURNAL OF COMPUTING.VOLUME 2.ISSUE 3,MARCH 2010,ISSN 2151-9617.
- Ran Yaniv and David Burshtein, “An Enhanced Dynamic Time Warping model for improved estimation of DTW Parameters”, IEEE TRANSACTION ON SPEECH AND AUDIO PROCESSING, VOL.11, NO.3, MAY 2003.
- Zhang Jing and Zhang Min, “Speech Recognition system Based Improved DTW Algorithm,” International Conference on Computer, Mechatronics, Control and Electronics Engineering (CMCE), 2010 IEEE.
- Talal Bin Amin and IftekharMahmood, “Speech recognition Using Dynamic Time Warping,”2nd International Conference on Advances in Space Technology, pp.74-79,29th -30th November, 2008 IEEE
Index Terms
Keywords