no code implementations • 1 Dec 2021 • Rutika Moharir, Arun D Prabhu, Sukumar Moharana, Gopi Ramena, Rachit S Munjal
Combining the spatial attention mechanism with the residue convolutional blocks, we are able to enhance the performance of the baseline CNN to build an end-to-end trainable network for script identification.
no code implementations • 17 May 2021 • Rachit S Munjal, Arun D Prabhu, Nikhil Arora, Sukumar Moharana, Gopi Ramena
We deploy the system on-device with an inference speed of 2. 44 ms per word on the Exynos 990 chipset device and achieve an accuracy of 88. 4\% on ICDAR-13 dataset.
Optical Character Recognition Optical Character Recognition (OCR) +1
no code implementations • 16 Apr 2021 • Rachit S Munjal, Manoj Goyal, Rutika Moharir, Sukumar Moharana
This makes script identification an overhead in the recognition pipeline.
no code implementations • 16 Apr 2021 • Manoj Goyal, Rachit S Munjal, Sukumar Moharana, Deepak Garg, Debi Prasanna Mohanty, Siva Prasad Thota
We propose a novel end-to-end solution that performs a Hierarchical Layout Analysis of screenshots and document images on resource constrained devices like mobilephones.
no code implementations • 10 Nov 2020 • Shubham Vatsal, Nikhil Arora, Gopi Ramena, Sukumar Moharana, Dhruval Jain, Naresh Purre, Rachit S Munjal
In this proposed work, we aim to identify language of text in images using the presence of diacritic characters in order to improve Optical Character Recognition (OCR) performance in any given automated environment.