Soft computing approaches for character credential and word prophecy analysis with stone encryptions-Reference-Cited by-同舟云学术

Soft computing approaches for character credential and word prophecy analysis with stone encryptions

Published:2020-01-04 Issue:16 Volume:24 Page:12013-12026
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Vani V.^ORCID,Ananthalakshmi S. R.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-019-04643-7.pdf

Reference33 articles.

1. Agarwal M (2012) Pattern clustering using soft-computing approaches. Thesis

2. Apte A, Gado H (2010) Tamil character recognition using structural features

3. Banumathi P, Nasira GM (2011) Handwritten Tamil character recognition using artificial neural networks. In: 2011 International conference on process automation, control and computing (PACC), pp 1–5. IEEE

4. Bhuvaneswari G, Subbiah Bharathi V (2016) An efficient method for digital imaging of ancient stone inscriptions. Curr Sci 110(2):245–250

5. Chowdhury Bipu MM, Afroge S (2018) A feature fusion based approach for handwritten Bangla character recognition using extreme learning machine. In: International conference on computer, communication, chemical, material and electronic engineering (IC4ME2), Rajshahi, pp 1–4

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