Comparative Analysis of Handwritten Text Recognition using CNN and SVM-Reference-Cited by-同舟云学术

Comparative Analysis of Handwritten Text Recognition using CNN and SVM

Published:2023-04-29 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
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Author:

D Parameshachari B¹,Ashok Alka¹,Reddy Haripriya¹

Affiliation:

1. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10150430/10150434/10150890.pdf?arnumber=10150890

Reference20 articles.

1. A Sequential Handwriting Recognition Model Based on a Dynamically Configurable CRNN

2. Handwritten Character Recognition on Android for Basic Education Using Convolutional Neural Network

3. An Efficient Deep Learning Model with Interrelated Tagging Prototype with Segmentation for Telugu Optical Character Recognition;srinivasa rao dhanikonda,2022

4. Convolutional-Neural-Network-Based Handwritten Character Recognition: An Approach with Massive Multisource Data

5. Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts

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