Title :
Adaptive image segmentation based on peak signal-to-noise ratio for a license plate recognition system
Author :
PirahanSiah, Farshid ; Abdullah, Siti Norul Huda Sheikh ; Sahran, Shahnorbanun
Author_Institution :
Center for Artificial Intell. Technol., Univ. Kebangsaan Malaysia, Bangi, Malaysia
Abstract :
The objective of this paper is to propose an adaptive threshold method based on peak signal to noise ratio (PSNR). Nowadays, PSNR has been widely used as stopping criteria in multi level threshold method for segmenting images. Alternatively, we apply the PSNR as criteria to find the most suitable threshold value. We evaluate this proposed method on license plate recognition application. At the same time, we compare this proposed algorithm with multi-level and multi-threshold methods as the benchmark. Via the proposed technique, it could relatively change according to environment such as when there is a high or low contrast situation.
Keywords :
image recognition; image segmentation; traffic engineering computing; adaptive image segmentation; adaptive multilevel threshold method; license plate recognition system; peak signal-to-noise ratio; Accuracy; Image recognition; Image segmentation; Licenses; Optical character recognition software; PSNR; Pattern recognition; Adaptive threshold; PSNR; image segmentation; license plate recognition; thresholding image segmentation;
Conference_Titel :
Computer Applications and Industrial Electronics (ICCAIE), 2010 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-9054-7
DOI :
10.1109/ICCAIE.2010.5735125
