Fuzzy and Neural Network Based License-Plate Localization and Recognition

[摘要] This paper presents the extraction of vehicle license plate information from a sequence of various images. ALPR is used in the presence or absence of a database in various applications such as, toll payment, etc. The proposed technique implements the CAN image by using a camera and to extract the license plate from the image based on various characteristics, such as the boundary, the color, or the existence of the characters. Thus it is not suitable for location of variable number plate. Finally to recognize the extracted characters by template matching by using neural networks and fuzzy classifiers.

[关键词] vertical edge detection algorithm (VEDA);scale-invariant feature transform(SIFT);dynamic programming(DP).