A Convolutional Autoencoder based Keyword Spotting in Historical Handwritten Devanagari Documents-Reference-Cited by-同舟云学术

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A Convolutional Autoencoder based Keyword Spotting in Historical Handwritten Devanagari Documents

Published:2022-07-20 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Inventive Computation Technologies (ICICT)
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Author:

N Sushma S.¹,B Sharada¹

Affiliation:

1. University of Mysore,Computer Science Department,Mysore,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9850395/9850438/09850900.pdf?arnumber=9850900

Reference38 articles.

1. Deconvolutional networks

2. Document image skew estimation contest;papandreou;Proc of the International Conference on Document Analysis and Recognition,2013

3. Word image retrieval using Binary features;zhang;Document Recognition and Retrieval XIII,2004

4. A fast parallel algorithm for thinning digital patterns

5. Construction of Statistical SVM based Recognition Model for Handwritten Character Recognition

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1. Revolutionizing cultural heritage preservation: an innovative IoT-based framework for protecting historical buildings;Evolutionary Intelligence;2024-06-27

2. Keyword Spotting Based on CTC and Similarity Matching for Chinese Speech;2023 IEEE/ACIS 23rd International Conference on Computer and Information Science (ICIS);2023-06-23

3. Word spotting and character recognition of handwritten Hindi scripts by Integral Histogram of Oriented Displacement (IHOD) descriptor;Multimedia Tools and Applications;2023-05-05

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