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http://dx.doi.org/10.5762/KAIS.2015.16.4.2749

A Study on Improved Image Matching Method using the CUDA Computing  

Cho, Kyeongrae (Dept. of Computer Software, Seoil University)
Park, Byungjoon (Dept. of Computer Software, Seoil University)
Yoon, Taebok (Dept. of Computer Software, Seoil University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.16, no.4, 2015 , pp. 2749-2756 More about this Journal
Abstract
Recently, Depending on the quality of data increases, the problem of time-consuming to process the image is raised by being required to accelerate the image processing algorithms, in a traditional CPU and CUDA(Compute Unified Device Architecture) based recognition system for computing speed and performance gains compared to OpenMP When character recognition has been learned by the system to measure the input by the character data matching is implemented in an environment that recognizes the region of the well, so that the font of the characters image learning English alphabet are each constant and standardized in size and character an image matching method for calculating the matching has also been implemented. GPGPU (General Purpose GPU) programming platform technology when using the CUDA computing techniques to recognize and use the four cores of Intel i5 2500 with OpenMP to deal quickly and efficiently an algorithm, than the performance of existing CPU does not produce the rate of four times due to the delay of the data of the partition and merge operation proposed a method of improving the rate of speed of about 3.2 times, and the parallel processing of the video card that processes a result, the sequential operation of the process compared to CPU-based who performed the performance gain is about 21 tiems improvement in was confirmed.
Keywords
Image matching; image processing; parallel programming;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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