A new modeling method for on-line handwriting recognition

Ménier, Gildas; Lorette, G; Gentric, P.

doi:10.1109/icdar.1995.599043

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…The detection of the baseline by the above presented algorithm permits to define the virtual line, on which the cursive handwriting characters are Detected baseline Extracted groups of trajectory points arranged and/or joined. The inter-graphemes ligature valleys are localized in the horizontal median zone shared by all concatenated or isolated graphemes [38]. The estimation of the thickness of this zone permits to define a neighborhood around the baseline in what is estimated to be the presence of the ligature valleys.…”

Section: Graphemes Segmentation Of Handwritingmentioning

confidence: 99%

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Graphemes Segmentation for Arabic Online Handwriting Modeling

Boubaker¹,

Abed²,

Kherallah³

et al. 2014

Journal of Information Processing Systems

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Abstract-In the cursive handwriting recognition process, script trajectory segmentation and modeling represent an important task for large or open lexicon context that becomes more complicated in multi-writer applications. In this paper, we will present a developed system of Arabic online handwriting modeling based on graphemes segmentation and the extraction of its geometric features. The main contribution consists of adapting the Fourier descriptors to model the open trajectory of the segmented graphemes. To segment the trajectory of the handwriting, the system proceeds by first detecting its baseline by checking combined geometric and logic conditions. Then, the detected baseline is used as a topologic reference for the extraction of particular points that delimit the graphemes' trajectories. Each segmented grapheme is then represented by a set of relevant geometric features that include the vector of the Fourier descriptors for trajectory shape modeling, normalized metric parameters that model the grapheme dimensions, its position in respect to the baseline, and codes for the description of its associated diacritics.

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Section: Graphemes Segmentation Of Handwritingmentioning

confidence: 99%

“…For Arabic writing, the middle zone represents the most shared and thickest horizontal level of a line of script [38]. Its vertical width can be identified by analyzing the horizontal projection histogram [7,39,40] (see Fig.…”

Section: Estimation Of the Width Of The Median Zonementioning

confidence: 99%