Raghunandan K. Srinivas

Affiliations:
  • University of Mysore, Karnataka, India


According to our database1, Raghunandan K. Srinivas authored at least 13 papers between 2013 and 2022.

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Bibliography

2022
New Deep Spatio-Structural Features of Handwritten Text Lines for Document Age Classification.
Int. J. Pattern Recognit. Artif. Intell., 2022

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

2019
Multi-Script-Oriented Text Detection and Recognition in Video/Scene/Born Digital Images.
IEEE Trans. Circuits Syst. Video Technol., 2019

2018
Riesz Fractional Based Model for Enhancing License Plate Detection and Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2018

Symmetry features for license plate classification.
CAAI Trans. Intell. Technol., 2018

Symbolic Approach for Word-Level Script Classification in Video Frames.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018

Convolution Neural Network Based Deep Features for Text Recognition in Multi-Type Images.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

2017
Script independent approach for multi-oriented text detection in scene image.
Neurocomputing, 2017

A Deep Convolution Neural Network Based Model for Enhancing Text Video Frames for Detection.
Proceedings of the Intelligent Systems Design and Applications, 2017

Sharpness and Contrast Based Features for Word-Wise Video Type Classification.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Fourier Coefficients for Fraud Handwritten Document Classification through Age Analysis.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

New Sharpness Features for Image Type Classification Based on Textual Information.
Proceedings of the 12th IAPR Workshop on Document Analysis Systems, 2016

2013
Flash Webpage Segmentation Based on Image Perception Using DWT and Morphological Operations.
Proceedings of the Third International Conference on Soft Computing for Problem Solving, 2013


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