Development and Performance Assessment of Bio-inspired based ANN Model for Handwritten English Numeral Recognition-Reference-Cited by-同舟云学术

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Development and Performance Assessment of Bio-inspired based ANN Model for Handwritten English Numeral Recognition

Published:2021-11-26 Issue: Volume: Page:
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Container-title:2021 IEEE 2nd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC)
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Author:

Rath Ashutosh¹,Sarangi Prateek²,Rath Adyasha³,Panda Ganapati⁴

Affiliation:

1. ICFAI Business School,Mumbai,India

2. Veer Surendra Sai University of Technology,Department of Computer Science and Engineering,Burla,Odisha,India,768016

3. Siksha O Anusandhan (Deemed to be) University,Department of Computer Science and Engineering,Bbubaneswar,Odisha,India,751030

4. C. V. Raman Global University,Department of Electronics and Tele Communication,Bhubaneswar,Odisha,India,752054

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9708066/9708067/09708530.pdf?arnumber=9708530

Reference12 articles.

1. Classification and recognition of handwritten digits by using mathematical morphology

2. Fuzzy model based recognition of handwritten numerals

3. Development and use of a new speech quality evaluation parameter ESNR using ANN and Grey Wolf Optimizer;dash;Journal of Scientific & Industrial Research,2020

4. Handwritten multiscript numeral recognition using artificial neural networks;asthana;International Journal of Soft Computing and Engineering,2011

5. CNN-based multilingual handwritten numeral recognition: A fusion-free approach

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