Approximate Search for Keywords in Handwritten Text Images

Author:

Andrés JoséORCID,Toselli Alejandro H.ORCID,Vidal EnriqueORCID

Publisher

Springer International Publishing

Reference21 articles.

1. Bisani, M., Ney, H.: Bootstrap estimates for confidence intervals in ASR performance evaluation. In: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 1, pp. I-409. IEEE (2004)

2. Bluche, T., et al.: Preparatory KWS experiments for large-scale indexing of a vast medieval manuscript collection in the HIMANIS Project. In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 01, pp. 311–316 (2017)

3. Bluche, T.: Deep neural networks for large vocabulary handwritten text recognition. Ph.D. thesis, Paris 11 (2015)

4. Causer, T., Wallace, V.: Building a volunteer community: results and findings from Transcribe Bentham. Digital Humanit. Q. 6(2) (2012)

5. Daciuk, J., Mihov, S., Watson, B.W., Watson, R.E.: Incremental construction of minimal acyclic finite-state automata. Comput. Linguist. 26(1), 3–16 (2000)

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