A New Deep Fuzzy Based MSER Model for Multiple Document Images Classification-Reference-Cited by-同舟云学术

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A New Deep Fuzzy Based MSER Model for Multiple Document Images Classification

Published:2022 Issue: Volume: Page:358-370
ISSN:0302-9743
Container-title:Pattern Recognition and Artificial Intelligence
language:
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Author:

Biswas Kunal,Shivakumara Palaiahnakote,Sivanthi Sittravell,Pal Umapada,Lu Yue,Liu Cheng-Lin,Ayub Mohamad Nizam Bin

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-09037-0_30

Reference20 articles.

1. Krishnani, D., et al.: A new context-based features for classification of emotions in photographs. Multimedia Tools Appl. 80, 15589–15618 (2021)

2. Nandanwar, L., et al.: Chebyshev-Harmonic-Fourier-Moments and deep CNNs for detecting forged handwriting. In: Proceedings of the ICPR, pp. 6562–6569 (2021)

3. Liu, L., et al.: Document image classification: progress over decades. Neurocomputing 453, 223–240 (2021)

4. Bakkali, S., Ming, Z., Coustaty, M., Rusinol, M.: Cross-modal deep networks for document image classification. In: Proceedings of the ICIP, pp. 2556–2560 (2020)

5. Rani, N.S., Nair, B.J.B., Karthik, S.K., Srinidi, A.: Binarization of degraded photographed document images-a variational denoising auto encoder. In: Proceedings of the ICIRCA, pp. 119–124 (2021)

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1. Deteriorated image classification model for malayalam palm leaf manuscripts;Journal of Intelligent & Fuzzy Systems;2023-08-24

2. Improved Hybrid Model to Text Detection by Using k-means and mser-swt with CNN;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19

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