Unconstrained handwritten document retrieval

Author:

Cao Huaigu,Govindaraju Venu,Bhardwaj Anurag

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Software

Reference27 articles.

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2. Beitzel, S.M., Jensen, E.C., Grossman D.A.: A survey of retrieval strategies for OCR text collections. In: Proceedings of the Symposium on Document Image Understanding Technologies. Greenbelt, Maryland, April 2003

3. Bhardwaj, A., Farooq, F., Cao, H., Govindaraju, V.: Topic based language models for OCR correction. In: Proceedings of the second workshop on Analytics for noisy unstructured text data, pp. 107–112, Singapore (2008)

4. Bhardwaj, A., Jose, D., Govindaraju, V.: Script independent keyword spotting for multilingual documents. In: Cross Lingual Information Access Workshop (2008)

5. Cao, H., Govindaraju, V.: Template-free word spotting in low- quality manuscripts. International Conference on Advances in Pattern Recognition (2007)

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1. Asking questions on handwritten document collections;International Journal on Document Analysis and Recognition (IJDAR);2021-08-06

2. A Review of Deep Learning Techniques in Document Image Word Spotting;Archives of Computational Methods in Engineering;2021-05-17

3. Query-Based Word Spotting in Handwritten Documents Using HMM;Advances in Intelligent Systems and Computing;2020

4. A survey of document image word spotting techniques;Pattern Recognition;2017-08

5. Boosting the handwritten word spotting experience by including the user in the loop;Pattern Recognition;2014-03

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