Hardware centric automatic recognition of road signs

In this paper we present a novel and robust algorithm for automatic recognition of road signs by using histogram of oriented gradient (HOG) as the main feature and minimum distance classifier (MDC) to classify numbers written on speed limit road signs. It also describes how other geometrical propert...

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Bibliographic Details
Published in2012 IEEE Symposium on Computer Applications and Industrial Electronics pp. 157 - 162
Main Authors Hashemi, A., Thornberg, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2012
Subjects
color space
Hardware
histogram of oriented gradients
Image color analysis
Image processing
Image recognition
Image segmentation
minimum distance classifier
Roads
Support vector machine classification
Training
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ISBN1467330329
9781467330329
DOI10.1109/ISCAIE.2012.6482088

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Summary:In this paper we present a novel and robust algorithm for automatic recognition of road signs by using histogram of oriented gradient (HOG) as the main feature and minimum distance classifier (MDC) to classify numbers written on speed limit road signs. It also describes how other geometrical properties can be added to feature vector in order to increase the robustness of proposed algorithm.
ISBN:1467330329
9781467330329
DOI:10.1109/ISCAIE.2012.6482088