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논문검색

FLD based Unconstrained Handwritten Kannada Character Recognition

원문정보

Niranjan S.K, Vijaya Kumar, Hemantha Kumar G, Manjunath Aradhya V N

보안공학연구지원센터(IJDTA) International Journal of Database Theory and Application vol.2 no.3 2009.09 pp.21-26
피인용수 : 0건 (자료제공 : 네이버학술정보)

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

저자정보

  • 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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자료제공 : 네이버학술정보

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