Automatic License Plate Recognition (ALPR) is a challenging area of research due to its importance to variety of commercial applications. ALPR systems are widely implemented for automatic ticketing of vehicles at car parking area, tracking vehicles during traffic signal violations and related applications with huge saving of human energy and cost. The overall problem may be subdivided into three distinct key modules: (a) localization of license plate from vehicle image, (b) segmentation of the characters within the license plate and (c) recognition of segmented characters within the license plate. The main function of the module (a) is to find out the potential regions within the image that may contain the license plate. The function of module (b) is to isolate the foreground characters from the background within the detected license plate region. And the function of the module (c) is to recognize the segments in terms of known characters or digits. Though modules (b) and (c) employ most of the traditional methods available to the technologists, module (a) i.e. localization of potential license plate regions(s) from vehicle images is the most challenging task due to the huge variations in size, shape, color, texture and spatial orientations of license plate regions in such images. In general, objective of any ALPR system is to localize potential license plate region(s) from the vehicle images captured through a road-side camera and interpret the segmented characters present therein using an Optical Character Recognition (OCR) system, to get the license number of the vehicle. Again, an ALPR system can have two varieties: on-line ALPR system and off-line ALPR system. In an online ALPR system, the localization and interpretation of license plates take place instantaneously from the incoming video frames, enabling real-time tracking of moving vehicles through the surveillance camera. On the other hand, an offline ALPR system captures the vehicle images and stores them in a centralized data server for further ...


    Access

    Download


    Export, share and cite



    Title :

    Automatic Localization and Recognition of License Plate Characters for Indian Vehicles


    Contributors:

    Publication date :

    2011-08-25


    Remarks:

    International Journal of Computer Science & Emerging Technologies; Vol 2, No 4 (2011): August, 2011 ; 2044-6004


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



    Automatic license plate recognition

    Shyang-Lih Chang, / Li-Shien Chen, / Yun-Chung Chung, et al. | IEEE | 2004


    Automatic License Plate Recognition

    Chang, S.-L. | Online Contents | 2004


    Effects of License Plate Attributes on Automatic License Plate Recognition

    Findley, Daniel J. / Cunningham, Christopher M. / Chang, Jeffrey C. et al. | Transportation Research Record | 2013