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ORCID4th MOCR@ICDAR 2013: Washington, DC, USA
- Venu Govindaraju, Prem Natarajan, Santanu Chaudhury, Daniel P. Lopresti, Srirangaraj Setlur, Huaigu Cao:
Proceedings of the 4th International Workshop on Multilingual OCR, MOCR@ICDAR 2013, Washington, D.C., USA, August 24, 2013. ACM 2013, ISBN 978-1-4503-2114-3 - Xujun Peng, Huaigu Cao, Srirangaraj Setlur
, Venu Govindaraju, Prem Natarajan:
Multilingual OCR research and applications: an overview. 1:1-1:8
Script recognition & word spotting
- Dmitriy Genzel, Ashok C. Popat, Remco Teunen, Yasuhisa Fujii:
HMM-based script identification for OCR. 2:1-2:5 - Gurpreet Singh Lehal:
A bilingual Gurmukhi-English OCR based on multiple script identifiers and language models. 3:1-3:5 - Hao Ye, Liangrui Peng:
Word level script recognition for Uighur document mixed with English script. 4:1-4:5 - Leonard Rothacker, Gernot A. Fink, P. Banerjee, Ujjwal Bhattacharya, B. B. Chaudhuri:
Bag-of-features HMMs for segmentation-free Bangla word spotting. 5:1-5:5
Recognition 1
- Sheikh Faisal Rashid, Marc-Peter Schambach, Jörg Rottland, Stephan von der Nüll:
Low resolution Arabic recognition with multidimensional recurrent neural networks. 6:1-6:5 - Gurpreet Singh Lehal, Ankur Rana:
Recognition of Nastalique Urdu ligatures. 7:1-7:5 - Purnendu Banerjee, B. B. Chaudhuri:
An approach for Bangla and Devanagari video text recognition. 8:1-8:5 - Adnan Ul-Hasan, Thomas M. Breuel:
Can we build language-independent OCR using LSTM networks? 9:1-9:5
Document analysis
- Soumyadeep Dey, Jayanta Mukhopadhyay, Shamik Sural, Partha Bhowmick:
Re-targeting of multi-script document images for handheld devices. 10:1-10:5 - Jin Chen, Daniel P. Lopresti:
Ruling-based table analysis for noisy handwritten documents. 11:1-11:5 - Jinyu Zuo, Esin Darici:
A robust table registration method for batch table OCR processing. 12:1-12:5 - Ritu Garg, Anukriti Bansal, Santanu Chaudhury, Sumantra Dutta Roy:
Text graphic separation in Indian newspapers. 13:1-13:5 - Deepak Kumar, M. N. Anil Prasad, A. G. Ramakrishnan:
Multi-script robust reading competition in ICDAR 2013. 14:1-14:5
Recognition 2
- Kapil Mehrotra, Saumya Jetley, Akash Deshmukh, Swapnil Belhe:
Unconstrained handwritten Devanagari character recognition using convolutional neural networks. 15:1-15:5 - A. G. Ramakrishnan, K. Bhargava Urala:
Global and local features for recognition of online handwritten numerals and Tamil characters. 16:1-16:5 - Souvik Dutta Chowdhury, Ujjwal Bhattacharya, Swapan K. Parui:
Levenshtein distance metric based holistic handwritten word recognition. 17:1-17:5 - Tarun Jindal, Ujjwal Bhattacharya:
Recognition of offline handwritten numerals using an ensemble of MLPs combined by Adaboost. 18:1-18:5
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