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Ender Tekin

Ender Tekin

Associate Scientist at The University of Wisconsin-Madison
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  • Publications
  • Projects
Journal Articles
Tekin, E., Vásquez, D., & Coughlan, J.. (2013). S-K Smartphone Barcode Reader for the Blind. Journal On Technology And Persons With Disabilities, 1.
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Tekin, E., Coughlan, J., & Simon, H. J.. (2013). Improving speech enhancement algorithms by incorporating visual information. The Journal Of The Acoustical Society Of America, 134, 4237–4237.
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Conference Papers
Fusco, G., Tekin, E., Giudice, N. A., & Coughlan, J.. (2015). Appliance Displays: Accessibility Challenges and Proposed Solutions. In 17th International ACM SIGACCESS Conference on Computers and Accessibility. ACM: Lisbon, Portugal. http://doi.org/http://dx.doi.org/10.1145/2700648.2811392
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Fusco, G., Tekin, E., Ladner, R. E., & Coughlan, J.. (2014). Using Computer Vision to Access Appliance Displays. In ASSETS.
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Tekin, E., Coughlan, J., & Simon, H. J.. (2014). An Investigation into Incorporating Visual Information in Audio Processing. In Computers Helping People with Special Needs (pp. 437–440). Springer International Publishing.
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Tekin, E., Coughlan, J., & Shen, H.. (2011). Real-time detection and reading of LED/LCD displays for visually impaired persons. In Applications of Computer Vision (WACV), 2011 IEEE Workshop on (pp. 491–496). IEEE.
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Tekin, E., & Coughlan, J.. (2009). A Bayesian Algorithm for Reading 1D Barcodes. In 2009 Canadian Conference on Computer and Robot Vision (CRV 2009).
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Tekin, E., & Coughlan, J.. (2009). An algorithm enabling blind users to find and read barcodes. In Applications of Computer Vision (WACV), 2009 Workshop on (pp. 1–8). IEEE.
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Presentations/Posters
Fusco, G., Tekin, E., & Coughlan, J.. (2016). An Appliance Display Reader for People with Visual Impairments.
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Other Publications
Fusco, G., Tekin, E., & Coughlan, J.. (2016). Sign Finder Application - Technical Report.
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Tekin, E., & Coughlan, J.. (2012). BLaDE: Barcode localization and decoding engine.
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Active
Active

ZoomBoard: an Affordable, Portable System to Improve Access to Presentations and Lecture Notes for Low Vision Viewers

The goal of the project is to develop a “ZoomBoard” system that students with low vision can use to better access visual material on a whiteboard or blackboard. The prototype version of the system that we plan to develop in this grant will consist of a dedicated camera...

Active

Sign Finder

This project seeks to develop a computer vision-based system that allows a visually impaired traveler to find and read informational signs, such as signs labeling office doors, streets, restrooms and Exit signs.

Link to...

Mentorship Period
January 2008 - January 2014
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  • James Coughlan
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