A Printed Character Recognition System for Meetei-Mayek Script Using Transfer Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4713-3_50
Reference16 articles.
1. Rahman MM, Akhand M, Islam S, Shill PC, Rahman M et al (2015) Bangla handwritten character recognition using convolutional neural network. Int J Image Graph Signal Process (IJIGSP) 7(8):42–49
2. Devi CN, Das D, Devi HM (2020) A meetei mayek handwritten digit recognition system. J Comput Theor Nanosci 17(1):334–339
3. Thokchom T, Bansal P, Vig R, Bawa S (2010) Recognition of handwritten character of Manipuri script. J Comput 5(10):1570–1574
4. Inunganbi SC, Choudhary P (2018) Recognition of handwritten Meitei Mayek and English alphabets using combination of spatial features. In: International conference on intelligent systems design and applications. Springer, pp 1133–1142
5. Meetei LS, Singh TD, Bandyopadhyay S (2019) Extraction and identification of Manipuri and Mizo texts from scene and document images. In: International conference on pattern recognition and machine intelligence. Springer, pp 405–414
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