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Parallel Implementation of Niblack’s Binarization Approach on CUDA

Brij Mohan Singh, Rahul Sharma, Ankush Mittal, Debashish Ghosh
Department of CSE, College of Engineering Roorkee, Roorkee-247667,Uttarakhand, India
International Journal of Computer Applications 32(2):22-27, 2011

@article{singh2011parallel,

   author={Brij Mohan Singh and Rahul Sharma and Ankush Mittal and Debashish Ghosh},

   title={Article: Parallel Implementation of Niblack’s Binarization Approach on CUDA},

   journal={International Journal of Computer Applications},

   year={2011},

   volume={32},

   number={2},

   pages={22-27},

   month={October},

   note={Published by Foundation of Computer Science, New York, USA}

}

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Image processing and pattern recognition algorithms take more time for execution on a single core processor. Graphics Processing Unit (GPU) is more popular now-a-days due to their speed, programmability, low cost and more inbuilt execution cores in it. Most of the researchers started work to use GPUs as a processing unit with a single core computer system to speedup execution of algorithms. The main goal of this research work is to make binarization faster for recognition of a large number of degraded document images on GPU. In this paper, parallel implementation is focused on the well known Niblack
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