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Hybrid Two-Dimensional Recognizer Based on the NSHP-HMM Model.

, , , , и . ICFHR, стр. 582-586. IEEE Computer Society, (2018)

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Christophe Kunze

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Другие публикации лиц с тем же именем

Combination of local and global vision modelling for Arabic handwritten words recognition., , , и . IWFHR, стр. 128-135. IEEE Computer Society, (2002)Baseline-based zoning design for the NSHPZ-HMM 2-D model applied to Arabic script., , , и . ASAR, стр. 41-46. IEEE, (2018)Water Reservoir Based Approach for Touching Numeral Segmentation., , и . ICDAR, стр. 892-897. IEEE Computer Society, (2001)Hybrid Two-Dimensional Recognizer Based on the NSHP-HMM Model., , , , и . ICFHR, стр. 582-586. IEEE Computer Society, (2018)A performance evaluation of NSHP-HMM based on conditional ZONE observation probabilities application to offline handwriting word recognition., , , и . ICDAR, стр. 1091-1095. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.Coupling of a local vision by Markov field and a global vision by Neural Network for the recognition of handwritten words., и . ICDAR, стр. 849-853. IEEE Computer Society, (2003)Character Rotation Absorption Using a Dynamic Neural Network Topology: Comparison With Invariant Features., , и . PRIS, стр. 90-97. INSTICC Press, (2004)Human Reading Based Strategies for Off-Line Arabic Word Recognition., и . SACH, том 4768 из Lecture Notes in Computer Science, стр. 36-56. Springer, (2006)Handwriting Recognition Using Local Methods for Normalization and Global Methods for Recognition., и . ICDAR, стр. 23-27. IEEE Computer Society, (2001)Dynamic Handwritten Keyword Spotting Based on the NSHP-HMM.. ICDAR, стр. 242-246. IEEE Computer Society, (2007)