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FLD based Unconstrained Handwritten Kannada Character Recognition
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 ]

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


언어
: 영어(ENG)
URL
: http://www.earticle.net/article.aspx?sn=147575 복사
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간 행 물 명 :
International Journal of Database Theory and Application [International Journal of Database Theory and Application]
발행기관명 :
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
간         기 :
격월간
I   S   S  N :
2005-4270
수 록 기 간 :
2008~2014
주 제 분 류 :
공학 > 컴퓨터학
십 진 분 류 :
KDC 028      DDC 004