SWTloc : Stroke Width Transform Text Localizer

Description

This repo contains a python implementation structured as a python package pertaining to the text localization method as in a natural image as outlayed in the Research Paper :-

Detecting Text in Natural Scenes with Stroke Width Transform. Boris Epshtein, Eyal Ofek & Yonatan Wexler (June, 2010)

This library extends the transformation stage of the image for textual content by giving the ability to :

• Localize Letter’s : through SWTImage.localizeLetters

• Localize Words’s, via fusing individual Letter’s : through SWTImage.localizeWords

The process flow of is depicted in the image below :

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Installation

To install swtloc, simply :

pip install swtloc

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Speed Benchmarking

Below is the speed comparison between different versions of SWTLoc and their various engines. The time measured for each test image was calculated based on 10 iterations of 10 runs each. Test Images can be found in examples/images/ folder in this repository, and the code for generating the below table can be found in - Improvements-in-v2.0.0.ipynb notebook in examples/ folder.

Test Image	SWT v1.1.1 (Python)	SWT v1.1.1 (Python) [x]	SWT v2.0.0 (Python)	SWT v2.0.0 (Python) [x]	SWT v2.0.0 (numba)	SWT v2.0.0 (numba) [x]
test_img1.jpg	16.929 seconds	1.0x	8.145 seconds	2.078x	0.33 seconds	51.315x
test_img2.jpg	10.107 seconds	1.0x	4.205 seconds	2.404x	0.678 seconds	50.904x
test_img3.jpg	4.545 seconds	1.0x	2.701 seconds	1.683x	0.082 seconds	55.625x
test_img4.jpeg	7.626 seconds	1.0x	3.992 seconds	1.91x	0.142 seconds	53.859x
test_img5.jpg	17.071 seconds	1.0x	7.554 seconds	2.26x	0.302 seconds	56.62x
test_img6.jpg	4.973 seconds	1.0x	3.104 seconds	1.602x	0.094 seconds	53.076x

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