Text Segmentation

A simple pre-project in python with the handwritten text segmentation module in c++.

Requirements

• GCC/G++ 8+
• Python 3.7
• openCV 3+

Run

python main.py -c -p

or

python3 main.py -c -p

Specify an image

python main.py -c -p --image xxx.png

or

python3 main.py -c -p --image xxx.png

Techniques

• Document Scanner
• Binarization with illumination compensation
• Line Segmentation with deslanting
• Word Segmentation

Document Scanner

Process of detecting the predominant contour in the image and segment using a four-point transformation. [ref]

Binarization

A technique for light compensation and sauvola binarization was applied, but others techniques was studied also.

• Implementation of the paper "Efficient Illumination Compensation Techniques for text images", Guillaume Lazzara and Thierry Géraud, 2014. [ref]
• Niblack, Sauvola and Wolf binarizations. [ref]

Line Segmentation

• Implementation of the paper "A Statistical approach to line segmentation in handwritten documents", Manivannan Arivazhagan, Harish Srinivasan and Sargur Srihari, 2007. [ref]

• Deslanting image. [ref]

Word Segmentation

• Implementation of the paper "Scale Space Technique for Word Segmentation in Handwritten Documents", R. Manmatha and N. Srimal, 1999. [ref]

Binary image

Image lines

First line/words segment