Retraction

Digital acquisition and character extraction from stone inscription images using modified fuzzy entropy-based adaptive thresholding

Paper Information

Record ID:
63665
Publication Date:
November 08, 2018
Retraction Date:
October 16, 2024 (1.1 year years ago)
Article Type:
Publisher:
Springer - Nature Publishing Group
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed

Citations (15)

15
Total Citations
1
Post-Retraction
(6.7%)
14
Pre-Retraction
0
Same Day
Post-Retraction Citation Analysis
1 Within 30 days
1 Within 1 year
0 After 2+ years
14 Days since retraction (latest)
Hybrid method for enhancement of low-resolution ancient Kannada Stone Inscription images
Bhagyashri Agasar, Gururaj Mukarambi
Digital Applications in Archaeology and Cultural Heritage
Published: Oct 2024
14 days after retraction
A Comparative Study on Deep Learning based Segmentation Techniques for Tamil Inscriptions
K. Poornimathi, V. Muralibhaskaran, L. Priya
Unknown Journal
Published: Oct 2024
13 days before retraction
Preserving the Legacy of Ancient Tamil Script with Deep Learning and Fuzzy C Means Algorithm: Intelligent Approach to Digiitization
B. Selvapriya, V. Rajini, B. Sowmya
Journal of Electrical Engineering and Technology
Published: Jun 2024
129 days before retraction
Performance of Binarization Algorithms on Tamizhi Inscription Images: An Analysis
Monisha Munivel, V. S. Felix Enigo
ACM Transactions on Asian and Low-Resource Language Information Processing Open Access
Published: Apr 2024
191 days before retraction
Comparative study: enhancing legibility of ancient Indian script images from diverse stone background structures using 34 different pre-processing methods
J. Jayanthi, P. Uma Maheswari
Heritage Science Open Access
Published: Feb 2024
3 citations
239 days before retraction
Synthetic Ancient Tamil Character Generation Using GAN
A. Aswathy, P. Uma Maheswari
Algorithms for intelligent systems
Published: Jan 2024
289 days before retraction
Preserving Tamil Brahmi Letters on Ancient Inscriptions: A Novel Preprocessing Technique for Diverse Applications
K. Poornimathi, V. Muralibhaskaran, L. Priya
Lecture notes in networks and systems
Published: Jan 2024
1 citation
289 days before retraction
Comparative Study: Enhancing Legibility of Ancient Indian Script Images from Diverse Stone Background Structures using 34 Different Pre-Processing Methods
J. Jayanthi, Prachi Maheshwari
Research Square (Research Square) Open Access
Published: Nov 2023
323 days before retraction
MLIBT: A multi-level improvised binarization technique for Tamizhi inscriptions
Monisha Munivel, V. S. Felix Enigo
Expert Systems with Applications
Published: Aug 2023
2 citations
414 days before retraction
Improving the Quality and Readability of Ancient Brahmi Stone Inscriptions
Pranav Rajnish, K Prajwal Kamath, Bhuvan Kumar et al. (5 authors)
Unknown Journal
Published: Mar 2023
3 citations
593 days before retraction
Recognition of Characters using PCE based Convolutional LSTM Networks from Palaeographic Writings
S. Ezhilarasi, P. Uma Maheswari, S Raghavi
Unknown Journal
Published: Feb 2023
1 citation
613 days before retraction
Ancient Tamil Character Recognition from Stone Inscriptions – A Theoretical Analysis
S. Dhivya, J. Rene Beulah
2022 2nd Asian Conference on Innovation in Technology (ASIANCON)
Published: Aug 2022
10 citations
782 days before retraction
A Review on Character Recognition and Information Retrieval from Ancient Inscriptions
R Vijayalakshmi, J. M. Gnanasekar
2022 8th International Conference on Smart Structures and Systems (ICSSS)
Published: Apr 2022
7 citations
909 days before retraction
A Novel Complete Denoising Solution for Old Malayalam Palm Leaf Manuscripts
Dhanya Sudarsan, Deepa Sankar
Pattern Recognition and Image Analysis
Published: Mar 2022
9 citations
960 days before retraction
Recognition and Classification of Stone Inscription Character Using Artificial Neural Network
K. Durga Devi, P. Uma Maheswari
Lecture notes in electrical engineering
Published: Dec 2021
4 citations
1035 days before retraction
Quick Stats
Total Citations: 15
Years Since Retraction: 1.1 year
Open Access: Yes
Last Checked: Jul 24, 2025