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A performance evaluation of NSHP-HMM based on conditional ZONE observation probabilities application to offline handwriting word recognition.

, , , and . ICDAR, page 1091-1095. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.

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