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Vijayalakshmi, K.
- Localization of License Plate using Morphological Operations
Authors
1 Department of ECE, SVS College of Engineering, IN
2 Department of Electrical and Electronics Engineering, SSK College of Engineering & Technology, Coimbatore-641105, IN
Source
Digital Image Processing, Vol 4, No 18 (2012), Pagination: 994-999Abstract
It is believed that there are currently millions of vehicles on the roads worldwide. The over speed of vehicles ,theft of vehicles, disobeying traffic rules in public, an unauthorized person entering the restricted area are keep on increasing. In order restrict against these criminal activities, we need an automatic public security system. Each vehicle has their own Vehicle Identification Number („VIN‟) as their primary identifier. The VIN is actually a License Number which states a legal license to participate in the public traffic. The proposed paper is to identify the vehicle with the help of vehicles License Plate (LP).LPRS is one the most important part of the Intelligent Transportation System (ITS) to locate the LP. In this paper certain existing algorithm drawbacks are overcome by the proposed morphological operations for LPRS. Morphological operation is chosen due to its higher efficiency, noise filter capacity, accuracy, exact localization of LP and speed.Keywords
Vehicle Identification Number (VIN), License Plate (LP), License Plate Recognition System (LPRS), Recognition, Morphological Operations.- Analytical Study on Enhancement of Satellite Image Processing
Authors
Source
Digital Image Processing, Vol 10, No 9 (2018), Pagination: 171-173Abstract
In this field satellite image processing is one of the challenging tasks for the researches and for the data collection there are different satellites sensors are available in the very low resolution to high resolution range. In this we analyze the satellite image enhancement like DWT (Discrete Wavelet Transform) method, which studies the sub pixel analyze the image to increase the satellite imaginary representation in spatial resolution and enhancement based on sub pixel multiple image registration. due the increase in size , multiple dimension analyze the satellite image consumes more process time to overcome the parallel computing based on Graphics Processing Unit (GPU) platform provides good aspects for computing performance demand. signals and images are closely related to digital processing of observed in the environment and by observing ground measuring stations and satellite are allowing to detection of concentration of dust particles and in this we develop to the design and verification of algorithm of image DE noising including wavelet use and their correlation.