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Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volumn 2005, Issue , 2005, Pages 207-211
A synthetic database to assess segmentation algorithms
Author keywords

Handwriting recognition; Segmentation; Synthetic data
Indexed keywords

ALGORITHMS; DATA REDUCTION; FEATURE EXTRACTION; IMAGE SEGMENTATION; PARAMETER ESTIMATION; PATTERN RECOGNITION SYSTEMS;
EID: 33947418515     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2005.35     Document Type: Conference Paper
Times cited : (12)
References (13)
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  • 2
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  • 3
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    • Segmentation of singleor multiple-touching handwritten numeral string using background and foregound analysis
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    • A segmentation-free recognition of handwritten touching numeral pairs using modular neural networks
    • S.-M. Choi and I.-S. Oh. A segmentation-free recognition of handwritten touching numeral pairs using modular neural networks. IJPRAI, 15(6):949-966, 2001.
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    • Segmentationbased recognition of handwritten touching pairs of digits using structural features
    • K. K. Kim, J. H. Kim, and C. Y. Suen. Segmentationbased recognition of handwritten touching pairs of digits using structural features. Pattern Recognition Letters, 23(1):13-21, 2002.
    • (2002) Pattern Recognition Letters , vol.23 , Issue.1 , pp. 13-21
    • Kim, K.K.1    Kim, J.H.2    Suen, C.Y.3
  • 9
    • 0032688872 scopus 로고    scopus 로고
    • A backgroundthinning-based approach for separating and recognizing connected handwritten digit strings
    • Z. Lu, Z. Chi, W. Siu, and P. Shi. A backgroundthinning-based approach for separating and recognizing connected handwritten digit strings. Pattern Recogniton, 32:921-933, 1999.
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  • 10
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    • Automatic recognition of handwritten numerical strings: A recognition and verification strategy
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    • U. Pal, A. Belaid, and C. Choisy. Touching numeral segmentation using water reservoir concept. Pattern Recognition Letters, 24:261-272, 2003.
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    • Separation of touching handwritten multi-numeral strings based on morphological structural features
    • D. Yu and H. Yan. Separation of touching handwritten multi-numeral strings based on morphological structural features. Pattern Recognition, 34(3):587-598, 2001.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.