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Javed, Mohammed and Nagabhushan, P. and Chaudhuri, B. B. (2018) A review on document image analysis techniques directly in the compressed domain. Artificial Intelligence Review, 50 (4). pp. 539-568. ISSN 1573-7462
Javed, M. and Nagabhushan, P. and Chaudhuri, B. B. (2017) A comparative study of two recent word spotting techniques in the run-length compressed domain. In: IEEE Catalog Number: ISBN: CFP17IWY-POD 978-1-5090-6472-42017 International Conference on Computing, Communication and Automation (ICCCA 2017), 5-6 May 2017, Greater Noida.
Javed, M. and Nagabhushan, P. and Chaudhuri, B. B. (2016) Automatic extraction of text and non-text information directly from compressed document images. In: Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016). UNSPECIFIED. ISBN 9783319529417
Javed, Mohammed and Krishnanand, S. H. and Nagabhushan, P. and Chaudhuri, B. B. (2016) Visualizing ccitt group 3 and group 4 tiff documents and transforming to run-length compressed format enabling direct processing in compressed domain. Procedia Computer Science, 85. 213 - 221.
Javed, M. and Nagabhushan, P. and Chaudhuri, B. B. (2015) Automatic extraction of correlation-entropy features for text document analysis directly in run-length compressed domain.
Javed, M. and Nagabhushan, P. and Chaudhuri, B. B. (2015) A direct approach for word and character segmentation in run-length compressed documents with an application to word spotting.
