Recognition of Syllabary Representation using PPCI based Conv Bi-LSTM Neural Networks from Rural

Author:

Ezhilarasi S1,Uma Maheswari P1,Charlote S P1

Affiliation:

1. Anna University,College of Engineering Guindy campus,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Reference20 articles.

1. CNN -LSTM Based Approach for Recognition of Devanagari Manuscripts

2. Exploring Deep Learning Approaches to Recognize Handwritten Arabic Texts

3. A Deep Learning Approach for Recognizing the Cursive Tamil Characters in Palm Leaf Manuscripts;Deore;Indian Academy of Sciences,2020

4. Classification of Documents Extracted from Images with Optical Character Recognition Methods;Aydin,2021

5. Isolated Gujarati Handwritten Character Recognition (HCR) using Deep Learning (LSTM);Rajyagor,2022

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