Traffic signs effected by shooting environment and natural environment , and varying degrees of geometric distortion. This work introduced a new method to extract the traffic signs' Hu moment features that based on affine invariant. First , according to the shape coordinates x,y of traffic sign is independent of each other before affine transformation . Then getting traffic signs only have rotating effect by ICA transformation . Finally , recognizing traffic sign by compare the Hu's moment feature. Results show this method can greatly improve the feature extraction accuracy of Hu moments and traffic sign recognition efficiency


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    Title :

    Traffic Signs Recognition Based on Affine Invariant Hu's Moment Features



    Published in:

    Publication date :

    2013-06-13


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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