Earticle

초록

영어

In this paper, we propose unconstrained handwritten Kannada character recognition based on Fisher Linear Discriminant Analysis (FLD). The proposed system extracts features from well known FLD, Two dimensional FLD (2D-FLD) and Diagonal FLD. In order to classify the characters, we explore different distance measure techniques and compare their results. The proposed system is tested on unconstrained handwritten Kannada characters with pertaining to large number of character classes. The system showed effectiveness and feasibility of the proposed method.

목차

Abstract
 1. Introduction
 2. Feature Extraction Techniques
 3. Experiment Results
 4. Conclusion
 References

저자

• Niranjan S.K [ Dept of Computer Science and Engineering, Bahubali College of Engineering, Shravanabelgola, Hassan, Karnataka, INDIA, MGNIRSA, Gagan Mahal Road, Domalguda, Hyderabad, INDIA ]
• Vijaya Kumar [ Dept of Computer Science and Engineering, Godhavari Institute of Engg and Technology, Rajamundri, Andhra Pradesh , INDIA, MGNIRSA, Gagan Mahal Road, Domalguda, Hyderabad, INDIA, ]
• Hemantha Kumar G [ Dept of Studies in Computer Science, University of Mysore, Mysore, INDIA ]
• Manjunath Aradhya V N [ Dept of ISE, DSCE, Bangalore, INDIA ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605