Convolutional Autoencoder Based Feature Extraction and KNN Classifier for Handwritten MODI Script Character Recognition-Reference-Cited by-同舟云学术

Convolutional Autoencoder Based Feature Extraction and KNN Classifier for Handwritten MODI Script Character Recognition

Published:2021 Issue: Volume: Page:142-149
ISSN:2367-3370
Container-title:Data Science and Security
language:
Short-container-title:

Author:

Joseph Solley,George Jossy

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-4486-3_15

Reference14 articles.

1. Chaudhuri A, Mandaviya K, Badelia P, Ghosh SK (2017) Optical Character Recognition Systems for Different Languages with Soft Computing, vol 352 (2017)

2. Joseph S, George J (2021) Efficient handwritten character recognition of MODI script using wavelet transform and SVD. In: Data Science and Security. Lecture Notes in Networks and Systems. Springer, Singapore, vol 132. https://doi.org/10.1007/978-981-15-5309-7_24

3. Joseph S, George J (2019) Feature extraction and classification techniques of MODI script character recognition. Pertanika J Sci Technol 27(4)1649–1669

4. Joseph S, Datta A, Anto O, Philip S, George J (2021) OCR system framework for MODI scripts using data augmentation and convolutional neural network. In: Data Science and Security. Lecture Notes in Networks and Systems, vol 132, pp 201–209. Springer, Singapore. https://doi.org/10.1007/978-981-15-5309-7_21

5. Joseph S, George JP, Gaikwad S (2020) Character recognition of MODI script using distance classifier algorithms. In: Fong S, Dey N, Joshi A (eds) ICT Anal. Appl. Lecture Notes in Networks and Systems, vol 93. Springer, Singapore. https://doi.org/10.1007/978-981-15-0630-7_11

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