- Task 1 - Video mode Localisation
- Task 2 - Video Mode End-to-End
- Task 3 - Still image mode Localisation
- Task 4 - Still image mode Word Recognition
- Task 5 - Still image mode End-to-End
method: NLPR-PAL2017-06-29
Authors: Wenhao He, Fei Yin, Cheng-Lin Liu
Description: this method is based on [1]. We also use images of Chinese and Japanese and Korean from the MLT competition.
[1] Deep Direct Regression for Multi-Oriented Scene Text Detection. arXiv:1703.08289
method: OpenCV + Tesseract2017-09-01
Authors: RRC DOST organizers
Description: Code here https://github.com/ComputerVisionCentre/RRC2015_Baseline_CV3Tess
Only modification is the minArea and maxArea parameters of the ERFilter detector (in line 92) in order to detect very small text as follows:
Ptr
Description Paper Source Code
Date | Method | Recall | Precision | Hmean | |||
---|---|---|---|---|---|---|---|
2017-06-29 | NLPR-PAL | 17.49% | 32.66% | 22.78% | |||
2017-09-01 | OpenCV + Tesseract | 0.97% | 3.78% | 1.54% |