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Off-line handwritten numeral string recognition by combining segmentation-based and segmentation-free methods.

, , and . Pattern Recognit., 31 (3): 257-272 (1998)

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Einsatz eines Perturbation-Ansatzes für die Erkennung handgeschriebener deutscher Grundzahlwörter., , and . DAGM-Symposium, page 63-70. Springer, (1996)Towards Generic Detection of Unusual Events in Video Surveillance., , , and . AVSS, page 61-66. IEEE Computer Society, (2009)The Optimum Class-Selective Rejection Rule.. IEEE Trans. Pattern Anal. Mach. Intell., 19 (6): 608-615 (1997)Off-Line, Handwritten Numeral Recognition by Perturbation Method., and . IEEE Trans. Pattern Anal. Mach. Intell., 19 (5): 535-539 (1997)Comparison of class-selective rejection rules for OCR.. Document Recognition, volume 3027 of SPIE Proceedings, page 10-18. SPIE, (1997)Perturbation Models: A New Approach to Improving Handwriting Recognition., , and . MVA, page 151-159. (1996)Recovery of temporal information of cursively handwritten words for on-line recognition., , , , , , and . ICDAR, page 931-935. IEEE Computer Society, (1997)An optimum class-selective rejection rule for pattern recognition.. ICPR, page 75-80. IEEE Computer Society, (1996)A system for segmenting and recognising totally unconstrained handwritten numeral strings., , and . ICDAR, page 1003-1009. IEEE Computer Society, (1995)0-8186-7128-9.Off-line handwritten numeral string recognition by combining segmentation-based and segmentation-free methods., , and . Pattern Recognit., 31 (3): 257-272 (1998)