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Volumn , Issue , 2009, Pages 1265-1269

Online recognition of multi-stroke symbols with orthogonal series

Author keywords

[No Author keywords available]

Indexed keywords

CLASS LABELS; COORDINATE FUNCTIONS; EFFICIENT METHOD; ERROR RATE; FEATURE VECTORS; HANDWRITTEN SYMBOLS; LEGENDRE; LINEAR SUPPORT VECTOR MACHINES; MULTI-STROKE; ON-LINE RECOGNITION; ORTHOGONAL SERIES; RECOGNITION PROCESS; SOBOLEV; STROKE CURVE; SVM CLASSIFICATION;

EID: 71249158151     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2009.229     Document Type: Conference Paper
Times cited : (10)

References (8)
  • 1
    • 84893499976 scopus 로고    scopus 로고
    • On-line Handwriting Recognition with Support Vector Machines-A Kernel Approach
    • C. Bahlmann, B. Haasdonk, and H. Burkhardt. On-line Handwriting Recognition with Support Vector Machines-A Kernel Approach. In Proc. of the 8th IWFHR, pages 49-54, 2002.
    • (2002) Proc. of the 8th IWFHR , pp. 49-54
    • Bahlmann, C.1    Haasdonk, B.2    Burkhardt, H.3
  • 2
    • 51149089514 scopus 로고    scopus 로고
    • Representing and characterizing handwritten mathematical symbols through succinct functional approximation
    • B. W. Char and S. M. Watt. Representing and characterizing handwritten mathematical symbols through succinct functional approximation. In Proc. Intl. Conf. on Document Analysis and Recognition (ICDAR), pages 1198-1202, 2007.
    • (2007) Proc. Intl. Conf. on Document Analysis and Recognition (ICDAR) , pp. 1198-1202
    • Char, B.W.1    Watt, S.M.2
  • 4
    • 71249094118 scopus 로고    scopus 로고
    • Distance-based classification of handwritten symbols
    • Technical Report TR-09-03, Ontario Research Center for Computer Algebra
    • O. Golubitsky and S. M. Watt. Distance-based classification of handwritten symbols. Technical Report TR-09-03, Ontario Research Center for Computer Algebra, 2009.
    • (2009)
    • Golubitsky, O.1    Watt, S.M.2
  • 7
    • 84866048288 scopus 로고    scopus 로고
    • Online mathematical symbol recognition using svms with features from functional approximation
    • B. Keshari and S. M. Watt. Online mathematical symbol recognition using svms with features from functional approximation. In Proc. Mathematical User-Interfaces Workshop (MathUI), 2008.
    • (2008) Proc. Mathematical User-Interfaces Workshop (MathUI)
    • Keshari, B.1    Watt, S.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.