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Hybrid method for License Plate detection and localization
Takialddin Al Smadi, College of Engineering, Jerash University, Jerash-Jordan
ABSTRACT
Improved recognition of vehicle license plates in images with complex background by creating methods, algorithms and programs are invariant to changes, turns, and changes of angle and other distortions of the input data.License Plate detection and localization (LPDL) has become an emergent research area in the field of intelligent traffic monitoring system. LPDL helps in finding the exact location of vehicle number plate which is an essential part of Intelligent Traffic Management System (ITMS) used for automatic road tax collection, traffic signals defilement implementation, borders and payments barriers and to monitor unlike activities. A competent algorithm is proposed in this paper for number plate detection and localization based on segmentation and morphological operators. Firstly quality of image is enhanced and then morphological operators are applied to segment out license plate from the captured image.
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A Modified Spiking Neuron Circuit With Memory Threshold And Its Application
Rongjun Ge, Liang Zhang, Tongfeng Zhang and Yide Ma, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
ABSTRACT
In this paper, a modified spiking neuron circuit with memory threshold is presented, where the threshold level and base level is provided by triangular signal and sinusoidal signal with different period, respectively. The circuit can store the potential of the input signal at the latest firing time as threshold under the control of pulse, implying the memory of threshold. We extend the definition of the least common multiple to obtain the iterative formula of firing phase of the circuit. The methods consisting of pulse position map, return map, bifurcation diagram and Lyapunov exponent graph are utilized to illustrate the rich dynamics of the neuron circuit. Furthermore, the hardware implementation of neuron circuit is done in our laboratory. As an example, the chaotic map generated by our circuits is applied to image encryption. Through experiment simulation and actual circuit testing, the results are as expected.
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