Lokesh Nandanwar

Orcid: 0000-0001-7201-0855

According to our database1, Lokesh Nandanwar authored at least 16 papers between 2020 and 2024.

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Bibliography

2024
A Conformable Moments-Based Deep Learning System for Forged Handwriting Detection.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

A new deep CNN for 3D text localization in the wild through shadow removal.
Comput. Vis. Image Underst., January, 2024

2023
A New Lightweight Script Independent Scene Text Style Transfer Network.
Int. J. Pattern Recognit. Artif. Intell., October, 2023

A New Language-Independent Deep CNN for Scene Text Detection and Style Transfer in Social Media Images.
IEEE Trans. Image Process., 2023

2022
A New Deep Wavefront Based Model for Text Localization in 3D Video.
IEEE Trans. Circuits Syst. Video Technol., 2022

Oil palm tree counting in drone images.
Pattern Recognit. Lett., 2022

Local Resultant Gradient Vector Difference and Inpainting for 3D Text Detection in the Wild.
Int. J. Pattern Recognit. Artif. Intell., 2022

2021
A New Foreground-Background based Method for Behavior-Oriented Social Media Image Classification.
ACM Trans. Multim. Comput. Commun. Appl., 2021

A New Method for Detecting Altered Text in Document Images.
Int. J. Pattern Recognit. Artif. Intell., 2021

A New Hybrid Method for Caption and Scene Text Classification in Action Video Images.
Int. J. Pattern Recognit. Artif. Intell., 2021

DCT-phase statistics for forged IMEI numbers and air ticket detection.
Expert Syst. Appl., 2021

2020
Forged text detection in video, scene, and document images.
IET Image Process., 2020

A New DCT-FFT Fusion Based Method for Caption and Scene Text Classification in Action Video Images.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Local Gradient Difference Features for Classification of 2D-3D Natural Scene Text Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Chebyshev-Harmonic-Fourier-Moments and Deep CNNs for Detecting Forged Handwriting.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

A New Common Points Detection Method for Classification of 2D and 3D Texts in Video/Scene Images.
Proceedings of the Document Analysis Systems - 14th IAPR International Workshop, 2020


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