The proposed algorithm consists of three major parts: Extraction of plate region, segmentation of characters and recognition of plate characters. For extracting the plate region edge detection and morphological operations are used. In segmentation part scan line algorithm is used. Character Segmentation for Devanagari Number Plates is also presented. optical character recognition technique is used for the character recognition. The objective is to design an efficient automatic authorized vehicle identification system by using the vehicle number plate.
Here we are presenting a smart and simple algorithm for vehicle’s license plate recognition system for Indian Vehicles. In this study, the proposed algorithm is based on extraction of plate region, segmentation of plate characters and recognition of characters. In India we find plates having Devanagari fonts as well (though according to rules it is not allowed).
Character extraction for Devanagari font is slightly different as compared to English font because of the header line (shirorekha).
We propose algorithm for character extraction for Devanagari font. The recognized plate an be then compared with police hotlist database to identify stolen vehicles. The paper is organized as follows: Section II provides an overview of the overall system. Extracting the plate region is explained in Section III. Section IV gives the segmentation of individual plate characters. Section V deals with recognition of characters using optical character recognition based on statistical based template matching algorithm which uses correlation and section VI deals with verification of plate according to Indian rules. The paper concludes with Section VII. Keywords
The Essay on Optical Character Recognition for Cursive Handwriting
In this paper, a new analytic scheme, which uses a sequence of segmentation and recognition algorithms, is proposed for offline cursive handwriting recognition problem. First, some global parameters, such as slant angle, baselines, and stroke width and height are estimated. Second, a segmentation method finds character segmentation paths by combining gray scale and binary information. Third, ...
Devanagari, Edge detection, License plate recognition, Optical character recognition, segmentation. License plate recognition (LPR) is a form of Automatic Vehicle Identification. It is an image processing technology used to identify vehicles by only their license plates. Real time LPR plays a major role in automatic monitoring of traffic rules and maintaining law enforcement on public roads. The LPR system’s significant advantage is that the system can keep an image record of the vehicle which is useful in order to fight crime and fraud (“an image is worth a thousand words”).
Early LPR systems suffered from a low recognition rate, lower than required by practical systems. The external effects (sun and headlights, bad plates, wide number of plate types) and the limited level of the recognition software and vision hardware yielded low quality systems. However, recent improvements in the software and hardware have made the LPR systems much more reliable and wide spread. 23 Emerging Trends in Computer Science and Information Technology -2012(ETCSIT2012) Proceedings published in International Journal of Computer Applications® (IJCA) in night condition, contrast enhancement is important before further processing.
