Earticle

초록

영어

All over India more than 12 crore people utilize Gurumukhi script for speaking, documenting & other purposes. A considerable advancement in the work associated with the recognition of handwritten and printed Gurmukhi text has been reported in last few years. From the last few decades offline handwritten character recognition has gained a lot of interest of researchers. It is well known that each individual has some different writing style, so it is very difficult to identify or recognize the handwritten characters. Researchers have worked in this field using various scripts like Hindi, English but a very little work has been done in Gurmukhi script point of view. Based on data acquirement process a concise classification of recognition system has been discussed in this article. Various feature mining techniques & classifiers like power arc fitting ,parabola arc fitting, ,diagonal feature extraction, transition feature extraction, K-NN classifier (K-nearest neighbor) & SVM classifier (Support vector machine) are also illustrated in this paper. The methodology for word recognition has also been discussed in this paper.

목차

Abstract
 1. Introduction
 2. Gurmukhi Script
 3. How Recognition Takes Place
 4. Literature Review
 5. Methodology
 6. Proposed Technique and Methodology
 7. Conclusion and Future Scope
 References

키워드

저자

• Neeraj Kumar [ Electronics & Communication Department Chitkara School of Engineering and Technology Chitkara University, Himachal Pradesh ]
• Sheifali Gupta [ Electronics & Communication Department Chitkara institute of Engineering and Technology Chitkara University, Punjab ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605