Title :
Recognition of characters on vehicle license plates
Author :
Tora, Hakan ; Bora, Kayhan
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Atilim Univ., Atilim, Turkey
Abstract :
In this study, a simple and effective method is proposed for segmenting alphanumeric and numeric characters on vehicle license plates and recognizing the segmented characters. The proposed approach is basically based on template matching technique. Features used for matching are obtained by scanning the segmented characters from left-to-right, right-to-left, top-to-bottom, and bottom-to-top. The features extracted in this way reveals the fact that how a character is moving and changing along its four-side. The character recognition is accomplished by using this information of the character. Experiments done show that successful results are obtained.
Keywords :
character recognition; feature extraction; image matching; image segmentation; traffic engineering computing; alphanumeric character; features extraction; segmented character; template matching; vehicle license plate; Artificial neural networks; Character recognition; Feature extraction; Licenses; Markov processes; Vehicles;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
Conference_Location :
Diyarbakir
Print_ISBN :
978-1-4244-9672-3
DOI :
10.1109/SIU.2010.5651693