Pattern Storage & Recalling Using Hopfield Neural Network and HOG Feature Based SVM Classifier: An Experiment with Handwritten Odia Numerals-Reference-Cited by-同舟云学术

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Pattern Storage & Recalling Using Hopfield Neural Network and HOG Feature Based SVM Classifier: An Experiment with Handwritten Odia Numerals

Published:2023-03-01 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Emerging Smart Computing and Informatics (ESCI)
language:
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Author:

Sharma Naman¹,Kalra Karan¹,Sarangi Pradeepta Kumar¹,Rani Lekha¹,Saxena Merry¹,Kumar Santosh²

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. Siksha ‘O’ Anusandhan University,Bhubaneshwar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099470/10099482/10099928.pdf?arnumber=10099928

Reference21 articles.

1. Quranic Optical Text Recognition Using Deep Learning Models

2. Recognizing Text-Based Traffic Signs

3. Hierarchical optical character recognition system design based on the Hopfield neural networks

4. A Residual-Attention Offline Handwritten Chinese Text Recognition Based on Fully Convolutional Neural Networks

5. Odia Handwritten Character Recognition with Noise using Machine Learning

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