Writer Identification from Offline Handwriting Images in Urdu Script with Dense-Net: A Deep Learning Approach-Reference-Cited by-同舟云学术

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Writer Identification from Offline Handwriting Images in Urdu Script with Dense-Net: A Deep Learning Approach

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
language:
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Author:

Nabi Syed Tufael¹,Singh Paramjeet¹,Kumar Munish²

Affiliation:

1. Maharaja Ranjit Singh Punjab Technical University,Department of Computer Science and Engineering GZS Campus College of Engineering and Technology,Bathinda,Punjab,India,151001

2. Maharaja Ranjit Singh Punjab Technical University,Department of Computational Sciences,Bathinda,Punjab,India,151001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10307034.pdf?arnumber=10307034

Reference18 articles.

1. Offline text-independent writer identification using codebook and efficient code extraction methods

2. Robust off-line text independent writer identification using bagged discrete cosine transform features

3. DeepWriterID: An End-to-End Online Text-Independent Writer Identification System

4. Off-line writer identification using an ensemble of grapheme codebook features

5. Texture-based descriptors for writer identification and verification

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