Segmentation-free Word Spotting for Handwritten Arabic Documents

TitleSegmentation-free Word Spotting for Handwritten Arabic Documents
Publication TypeJournal Article
Year of Publication2016
AuthorsKhaissidi, G., Y. Elfakir, M. Mrabti, M. E. A. Yacoubi, D. Chenouni, and Z. Lakhliai
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueSpecial Issue on Artificial Intelligence Underpinning
Volume4
Number1
Date Published09/2016
Pagination6-10
Abstract

In this paper we present an unsupervised segmentation-free method for spotting and searching query, especially, for images documents in handwritten Arabic, for this, Histograms of Oriented Gradients (HOGs) are used as the feature vectors to represent the query and documents image. Then, we compress the descriptors with the product quantization method. Finally, a better representation of the query is obtained by using the Support Vector Machines (SVM).

KeywordsArabic Documents, Classification, HOG, Image Recognition, Word Spotting
DOI10.9781/ijimai.2016.411
URLhttp://www.ijimai.org/JOURNAL/sites/default/files/files/2016/02/ijimai20164_1_1_pdf_95245.pdf
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