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| Detecting Texts in Images |
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Computer Vision
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Pictures are taken from the paper “Detecting Text in Natural Scenes with Stroke Width Transform” \ B. Epshtein, E. Ofek, and Y. Wexler.
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Project Description:
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Detecting text in natural images, as opposed to scans of printed pages, faxes and business cards, is an important step for a number of Computer Vision applications, such as computerized aid for visually impaired, automatic geocoding of businesses, and robotic navigation in urban environments. We will develop an algorithm, robust to fonts and language, which detects text in natural images.
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Project Goal:
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In this project we will create an algorithm that detect text in natural images.
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Project
Details:
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- Supervisor:
David Ben-Haim
04-8294630
Email:
davidbh@tx.technion.ac.il
- Field:
Computer Vision - Requirements:
Image Processing
- Project status:
Taken by the students Daskal Menashe and Kochva Dolev
- Visit:
Project web site
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