Recognition of Handwritten Arabic Characters using Histograms of Oriented Gradient (HOG)-Reference-Cited by-同舟云学术

Recognition of Handwritten Arabic Characters using Histograms of Oriented Gradient (HOG)

Published:2018-04 Issue:2 Volume:28 Page:321-345
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Jebril Noor A.,Al-Zoubi Hussein R.,Abu Al-Haija Qasem

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1134/S1054661818020141.pdf

Reference49 articles.

1. S. Tanner, Deciding whether Optical Character Recognition is feasible, Technical report (King’s Digital Consultancy Services, 2004).

2. A. Cheung, M. Bennamoun, and N. W. Bergmann, “An Arabic optical character recognition system using recognition-based segmentation,” Pattern Recogn. 34 (2), 215–233 (2001).

3. A. Goyal, K. Khandelwal, and P. Keshri, “Optical Character Recognition for handwritten Hindi,” CS229 Notes — Machine Learning, Stanford University, 2010, pp. 1–5.

4. A. J. Newell and L. D. Griffin, “Multiscale Histogram of Oriented Gradient descriptors for robust character recognition,” in Proc. 11th Int. Conf. on Document Analysis and Recognition (ICDAR 2011) (IEEE Computer Society, 2011), pp. 1085–1089.

5. Ø. D. Trier, A. K. Jain, and T. Taxt, “Feature extraction methods for character recognition—A survey,” Pattern Recogn. 29 (4), 641–662 (1996).

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