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Found 5 papers, 0 papers with code
On-Device Spatial Attention based Sequence Learning Approach for Scene Text Script Identification
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.
STRIDE : Scene Text Recognition In-Device
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
TeLCoS: OnDevice Text Localization with Clustering of Script
This makes script identification an overhead in the recognition pipeline.
ScreenSeg: On-Device Screenshot Layout Analysis
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.
On-Device Language Identification of Text in Images using Diacritic Characters
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.
