The week's pick
Reseach Article
An Ehanced Digical Character Recogniton using Art Network Classifier
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 63 - Number 13 |
| Year of Publication: 2013 |
| Authors: Kapil Juneja, Nasib Singh Gill |
10.5120/10524-5505
|
Kapil Juneja, Nasib Singh Gill . An Ehanced Digical Character Recogniton using Art Network Classifier. International Journal of Computer Applications. 63, 13 ( February 2013), 6-12. DOI=10.5120/10524-5505
Abstract
Image Classification is one of the major applications of Image processing to place all the related images in a separate group. In some Recognition and Identification applications, Image classification is used to reduce the size of processing dataset. In this present work, the image classification is used to perform the digital character recognition. In this work, A Soft computing technique called Art Network is been implemented through the classification process. The work is divided into two main stages named Training and Recognition process. During the Training Phase, the input imageset is processed and divided in N Classes based upon the tolerance ratio. The Eligibility criterion to specific class is decided by Feature analysis over the image. In second stage, the feature extraction over the input image is performed and based on featured value; the related class is been identified. Now one-to-one comparison is performed on that class to identify the class on which comparison is performed. The effectiveness to the work is estimated based on matching ratio.
References
- Jun Sun, "Low Resolution Character Recognition by Dual Eigenspace and Synthetic Degraded Patterns", HDP'04, November 12, 2004, Washington, DC, USA, pp 15-22
- Vinh Du Mai, "Building a License Plate Recognition System for Vietnam TollBooth", SoICT 2012, August 23–24, 2012, Ha Long, Vietnam, pp 107-114
- Jayakumar S Kandhasamy, "From Text to Images Through Meanings", ACE'04, June 3-5, 2004, Singapore, pp 222-227
- Jonathan Holman, "Developing Usable CAPTCHAs for Blind Users", ASSETS'07, October 15–17, 2007, Tempe, Arizona, USA, pp 245-246
- Zhanghui Chen, "Effective Radical Segmentation of Of?ine Handwritten Chinese Characters towards Constructing Personal Handwritten Fonts", DocEng'12, September 4–7, 2012, Paris, France, pp 107-116
- Amritha Sampath, "Online Handwritten Character Recognition for Malayalam", CCSEIT-12, October 26-28, 2012, Coimbatore [Tamil nadu, India], pp 661-663
- Gurpreet Singh Lehal, "Choice of Recognizable Units for Urdu OCR", DAR '12, December 16 2012, Mumbai, IN, India, pp 79-85
- Dr. P. Subashini, "A combined preprocessing scheme for texture based Ice classification from SAR images", A2CWiC 2010, September 16-17, 2010, India, pp 1-6.
- Chergui Leila," ART NETWORK FOR ARABIC HANDWRITTREN RECOGNITION SYSTEM"
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