Earticle

초록

영어

This paper describes a system to classify the off-line handwritten Hindi characters into several groups based on some similarity measure. A novel method is proposed for finding the header line, based on end points and pixels positions in the top half part of the character image. The algorithm works in the presence of slant of the header line. After the identification and removal of header line, all the characters are coarse classified. A new algorithm is designed for the identification of presence and position of vertical bar in the handwritten Hindi characters. A coarse classification rate of 97.25% has been achieved in the simulation study.

목차

Abstract
 1. Introduction
 2. Preprocessing
  2.1 Database Collection
  2.2 Identification and Removal of Header Line
 3. Coarse Classification
  3.1 Identification of Non-Connected Characters
  3.2 Identification of End-bar, Middle-bar and Without-bar Characters
  3.3 Identification of Closed loop
 4. Experimental Results
 5. Conclusions
 References

키워드

저자

• Pooja Agrawal [ Department of Electrical Engineering ]
• M. Hanmandlu [ Department of Electrical Engineering ]
• Brejesh Lall [ Department of Electrical Engineering ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605