The following publications are possibly variants of this publication:
- Automatic tracing and extraction of text-line and word segments directly in JPEG compressed document imagesBulla Rajesh, Mohammed Javed, P. Nagabhushan. iet-ipr, 14(9):1909-1919, 2020. [doi]
- Automatic Extraction of Text and Non-text Information Directly from Compressed Document ImagesMohammed Javed, P. Nagabhushan, Bidyut B. Chaudhuri. his 2017: 38-46 [doi]
- Segmentation-Less Extraction of Text and Non-Text Regions From JPEG 2000 Compressed Document Images Through Partial and Intelligent DecompressionTejasvee Bisen, Mohammed Javed, P. Nagabhushan, Watanabe Osamu. access, 11:20673-20687, 2023. [doi]
- Extraction of line-word-character segments directly from run-length compressed printed text-documentsMohammed Javed, P. Nagabhushan, B. B. Chaudhuri. ncvpripg 2013: 1-4 [doi]
- Automatic extraction of correlation-entropy features for text document analysis directly in run-length compressed domainMohammed Javed, P. Nagabhushan, Bidyut Baran Chaudhuri. icdar 2015: 1-5 [doi]
- Segmentation of Text-Lines and Words from JPEG Compressed Printed Text Documents Using DCT CoefficientsBulla Rajesh, Mohammed Javed, P. Nagabhushan, Watanabe Osamu. dcc 2020: 389 [doi]
- FastSS: Fast and smooth segmentation of JPEG compressed printed text documents using DC and AC signal analysisBulla Rajesh, Mohammed Javed, P. Nagabhushan. mta, 82(6):8855-8881, March 2023. [doi]
- CompTLL-UNet: Compressed Domain Text-Line Localization in Challenging Handwritten Documents Using Deep Feature Learning from JPEG CoefficientsBulla Rajesh, Sk Mahafuz Zaman, Mohammed Javed, P. Nagabhushan. acpr 2023: 88-101 [doi]