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Volumn , Issue , 2010, Pages

Segmentation techniques for online Arabic handwriting Recognition: A survey

Author keywords

[No Author keywords available]

Indexed keywords

ARABIC HANDWRITING; ON-LINE RECOGNITION; ONLINE ARABIC HANDWRITING RECOGNITION; RECOGNITION SYSTEMS; SEGMENTATION TECHNIQUES;

EID: 80052369120     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICT4M.2010.5971900     Document Type: Conference Paper
Times cited : (19)

References (13)
  • 1
    • 80052386142 scopus 로고    scopus 로고
    • Biennial Report, Chapter 7. Laboratory of Computer and Information Science, Neural Networks Research Centre. Helsinki University of Technology
    • V. Vuori, M. Aksela , J. Laaksonen, and E. Oja , "On-line recognition of handwritten characters. Biennial Report, " Chapter 7. Laboratory of Computer and Information Science, Neural Networks Research Centre. Helsinki University of Technology, 2003.
    • (2003) On-line Recognition of Handwritten Characters
    • Vuori, V.1    Aksela, M.2    Laaksonen, J.3    Oja, E.4
  • 8
    • 80052383599 scopus 로고    scopus 로고
    • On-Line handwriting recognition system based on graph matching and genetic algorithm
    • Tozeur-Tunisia, November 5-7
    • N. Rokbani, M. Kherallah, and M.A. Alimi, " On-Line Handwriting Recognition System Based on Graph Matching and Genetic Algorithm, " International Coriference on Machine Intelligence, Tozeur-Tunisia, November 5-7, 2005.
    • (2005) International Coriference on Machine Intelligence
    • Rokbani, N.1    Kherallah, M.2    Alimi, M.A.3
  • 9
    • 71249132632 scopus 로고    scopus 로고
    • Simultaneous segmentation and recognition of arabic characters in an unconstrained on-line cursive handwritten document
    • March
    • R.I. Elanwar, MA Rashwan, and SA Mashali, "Simultaneous Segmentation and Recognition of Arabic Characters in an Unconstrained On-Line Cursive Handwritten Document, " World Acandemy of Science, Engineering and Technology, March 2007.
    • (2007) World Acandemy of Science, Engineering and Technology
    • Elanwar, R.I.1    Rashwan, M.2    Mashali, S.A.3
  • 10
    • 84861028950 scopus 로고    scopus 로고
    • An efficient feature extraction algorithm for the recognition of handwritten arabic digits
    • 2 ©
    • A.T. AI-Taani, "An Efficient Feature Extraction Algorithm for the Recognition of Handwritten Arabic Digits, " International Journal of Computational Intelligence 2;2 © www.waset.org Spring 2006.
    • (2006) International Journal of Computational Intelligence , vol.2
    • Ai-Taani, A.T.1
  • 13
    • 80052352587 scopus 로고    scopus 로고
    • http://en.wikipedia.org


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.