Deep Learning Approaches for Textbook Recognition and Classification-Reference-Cited by-同舟云学术

Deep Learning Approaches for Textbook Recognition and Classification

Published:2024-02-24 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
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Author:

Suryawanshi P B¹,Singh Aswal Upendra²,Merikapudi Seshaiah³,Vekariya Vipul⁴,Patil Harshal⁵,Maranan Ramya⁶

Affiliation:

1. IBMRD PO MIDC Nr College of Engineering,Department of MBA,Ahmednagar,Maharashtra,India,414111

2. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun,Uttarakhand,India,248002

3. SJC Institute of Technology,Department of Computer Science and Engineering (CSE),Chickballapur,Karnataka,India,562101

4. Parul Institute of Engineering and Technology, Parul University,Department of Computer Science and Engineering,Waghodia,Gujarat,India,391760

5. Symbiosis Institute of Technology, Symbiosis International (Deemed University),Department of Computer Science and Engineering,Pune,Maharashtra,India,412115

6. Saveetha School of Engineering, SIMATS,Department of Research and Innovation,Chennai,Tamil Nadu,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10481805/10481679/10482362.pdf?arnumber=10482362

Reference15 articles.

1. DeepSpacy-NER: an efficient deep learning model for named entity recognition for Punjabi language

2. Combination of Convolutional Neural Network Architecture and its Learning Method for Rotation‐Invariant Handwritten Digit Recognition

3. An efficient and improved scheme for handwritten digit recognition based on convolutional neural network

4. An Effective and Improved CNN-ELM Classifier for Handwritten Digits Recognition and Classification

5. Brain tumor localization and segmentation using mask RCNN