Improvising the CNN Feature Maps Through Integration of Channel Attention for Handwritten Text Recognition

Author:

Shashank B. N.,Nagesh Bhattu S.,Sri Phani Krishna K.

Publisher

Springer Nature Switzerland

Reference21 articles.

1. Neto, d.S., Flor, A., et al.: HTR-Flor: a deep learning system for offline handwritten text recognition. In: 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). IEEE (2020)

2. Joan. P.: Are multidimensional recurrent layers really necessary for handwritten text recognition?. In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). Vol. 1. IEEE (2017)

3. Plötz, T., Fink, G.A.: Markov models for offline handwriting recognition: a survey. Int. J. Doc. Anal. Recogn. (IJDAR) 12(4), 269–298 (2009)

4. Lecture Notes in Computer Science;V Frinken,2009

5. Bluche, T., Ney, H., Kermorvant, C.: Tandem HMM with convolutional neural network for handwritten word recognition. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE (2013)

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