Character segmentation is an important step in License Plate Recognition (LPR) system. There are many difficulties in this step, such as the influence of image noise, plate frame, rivet, space mark, and so on. This paper presents a new algorithm for character segmentation, using Hough transformation and the prior knowledge in horizontal and vertical segmentation respectively. Furthermore, a new object enhancement technique is used for image preprocessing. The experiment results show a good performance of this new segmentation algorithm.


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    Title :

    A new algorithm for character segmentation of license plate


    Contributors:


    Publication date :

    2003-01-01


    Size :

    372325 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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