2018
DOI: 10.22452/mjcs.vol31no1.5
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Automatic Line-Level Script Identification From Handwritten Document Images - A Region-Wise Classification Framework for Indian Subcontinent

Abstract: Script identification is a well-studied problem for automatic processing of document images. Several attempts have been made so far, but it is still far ahead from the complete solution. In this paper, an automatic approach for line-level handwritten script identification (HSI), considering eight official Indic scripts namely: Bangla, Devanagari, Kannada, Malayalam, Oriya, Roman, Telugu, and Urdu is proposed. We consider a 148-dimensional feature vector using: image component fractal dimension, structural and … Show more

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Cited by 5 publications
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“…Lines of scrip are detected and segmented to be prepared for further segmentation processing. Both offline-handwritten [57] and offline-printed [58] line detection has been the subject of numerous studies in the literature.…”
Section: Paragraph Levelmentioning
confidence: 99%
“…Lines of scrip are detected and segmented to be prepared for further segmentation processing. Both offline-handwritten [57] and offline-printed [58] line detection has been the subject of numerous studies in the literature.…”
Section: Paragraph Levelmentioning
confidence: 99%