An algorithm for multiscale license plate detection and rule-based character segmentation

Download
2011
Karalı, Ali Onur
License plate recognition (LPR) technology has great importance for the development of Intelligent Transportation Systems by automatically identifying the vehicles using image processing and pattern recognition techniques. Conventional LPR systems consist of license plate detection (LPD), character segmentation (CS) and character recognition (CR) steps. Successful detection of license plate and character locations have vital role for proper LPR. Most LPD and CS techniques in the literature assume fixed distance and orientation from the vehicle to the imaging system. Hence, application areas of LPR systems using these techniques are limited to stationary platforms. However, installation of LPR systems on mobile platforms is required in many applications and algorithms that are invariant to distance, orientation, and illumination should be developed for this purpose. In this thesis work, a LPD algorithm that is based on multi-scale vertical edge density feature, and a character segmentation algorithm based on local thresholding and connected component analysis operations are proposed. Performance of the proposed algorithm is measured using ground truth positions of the license plate and characters. Algorithm parameters are optimized using recall and precision curves. Proposed techniques for each step give satisfying results for different license plate datasets and algorithm complexity is proper for real-time implementation if optimized.

Suggestions

An End-to-end communication architecture for intelligent transportation systems: design, implementation and latency analysis
Bağcı, Çağatay; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2018)
Vehicle to anything (V2X) communication is a very significant component of Intelligent Transport Systems (ITS) applications. This thesis proposes an application layer communication architecture, ITSVeCon for V2X communications which enables communication among the end-hosts which can be vehicle Electronic Control Units (ECU)’s, Road Side Units (RSU)s, computers, smart phones or third party service providers. All these end-hosts are bi-directionally connected to the ITSVeCon Server where this server carries ...
Automatic license plate recognition system location selection
Gör, Buğra; Karakaya, Gülşah; Department of Business Administration (2018)
With the help of advancements on sensor and data transfer technologies, the usage area of Automatic License Plate Recognition (ALPR) Systems has been enlarged. Both public and private sectors implement ALPR applications for their respective needs. Public safety ALPR applications aim to monitor and control traffic data at both individual and collective levels. For this reason, to build an efficient sensor network number and location of ALPR systems should be determined optimally. This study focuses on determ...
A Generic and extendable system architecture for intelligent transportation systems /
Çetinkaya, Kaan; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2015)
Intelligent Transportation Systems (ITS) are distributed systems with different communicating parties which are vehicles with ITS-supporting On Board Units (OBUs), Road Side Units (RSU) and user mobile devices. These parties collectively run application services that are developed and managed by different application service providers by communicating among each other under certain timing constraints. In the current state of art, hardware, software and communications that are required to implement a given I...
Saliency-based visual tracking using correlation filters for surveillance applications /
Tunalı, Emre; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2014)
In recent years intelligent transportation systems (ITS) have been an active research area in computer vision. One of the main goals of ITS is producing systems to guide surveillance operators and reduce human resources for observing hundreds of cameras in urban traffic surveillance. Thus, this thesis is devoted to realization of low level tasks, target detection and tracking, for an autonomous video surveillance system. The initial step of the proposed system is moving object detection which is utilized ba...
An Approach for System Identification in Unmanned Surface Vehicles
Erunsal, Izzet Kagan; Ahiska, Kenan; Kumru, Murat; Leblebicioğlu, Mehmet Kemal (2017-10-21)
In this study, a system identification methodology is introduced to determine the model parameters of unmanned surface vehicles. The proposed identification scheme is based on sequencing the experiments according to their capabilities to identify the model parameters. In each experiment, the parameters to be found are updated and the results are validated before ascertaining the final value. A procedure to complete the identification work in an experiment, namely the required post-processing, the optimizati...
Citation Formats
A. O. Karalı, “An algorithm for multiscale license plate detection and rule-based character segmentation,” M.S. - Master of Science, Middle East Technical University, 2011.