TY  - JOUR
T1  - Vehicle License Plate Localization in Image Using Edge Statistical
Features and Morphology
AU - Ahmadi Brooghani, Zahra AU - Sadeq Navabi, Mohammad 
JO  - Journal of Engineering and Applied Sciences
VL  - 11
IS  - 14
SP  - 3109
EP  - 3113
PY  - 2016
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2016.3109.3113
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2016.3109.3113
KW  - License plate location
KW  -statistical features
KW  -edge detection
KW  -hierarchical license plate location
KW  -morphology
AB  - This study presents an algorithm based on edge statistical characteristics and morphology for license
plate detection in images. The proposed method is highly efficient using edge statistical characteristics. The
method is subdivided into four steps. Firstly, the proposed method is majorly characterized with vertical edging,
as several numbers of license plate may resemble vertical lines like a 1D barcode. Next, the edges are statistically
analyzed; then, license plate is hieratically located and finally, the license plate is extracted from image by
morphology. The proposed algorithm accurately and rapidly locates license plates. The 9786 of 9825 license
plate images in a real database were identified with the accuracy of 99.6%.
ER  -