Paper Title:
Hill Climbing Algorithm for License Plate Recognition
  Abstract

Histogram thresholding has been widely used for image processing—it is simple, fast, and computationally inexpensive. In this paper, we develop a creative approach based on histogram’s distributions to segment interest regions from background. Unlike the existing threshold detection methods which measure the statistics of histogram in the multi-modal images, our approach analyses the shape representation of multi-modal which has several hill-climbing curves. The behavior of algorithm works like human vision which focuses on the high contrast areas and scans the shape variation first. Moreover, such an algorithm presents a new type of histogram analysis that depends on the particular shape of certain distribution in histogram. Experimental results reveal that the proposed algorithm performs distinct effects especially on the recognition of artificial signs such as road sign, vehicle plate, and signboard.

  Info
Periodical
Edited by
Yanwen Wu
Pages
995-1000
DOI
10.4028/www.scientific.net/AMR.267.995
Citation
Y. C. Yu, S. C. D. You, D. R. Tsai, "Hill Climbing Algorithm for License Plate Recognition", Advanced Materials Research, Vol. 267, pp. 995-1000, 2011
Online since
June 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Lei Shao, Yi Mu, Peng Guo, Jun Liu, Guo Ling Dong, Hong Li Liu
Chapter 3: Data, Text, Sound, Image, Signal and Video Processing and Technologies
Abstract:Image segmentation is the key step in image recognition,the result of segmentation affects the one of recognition directly.The article...
330
Authors: Irina Valeryevna Tsapko, Andrei Vladimirovich Vlasov
Chapter 5: Image and Signal Processing, Recognition, Information Processing and Applied Technologies
Abstract:This paper is concerned with an algorithm of determining a position of an object and its borders in an X-Ray image. The algorithm is based on...
667