International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 08 | Aug-2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 1598 Security with an increased visibility of less visible colour image Vinay Negi 1 , Sandeep Singh 2 1 ECE (PhD Research scholar), Monad University, India, Hapur 2 ECE (PhD Research scholar), Monad University, India, Hapur ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - As the significant growth in crime of murder, rape and robbery increased at night, it is very essential to read the number plate of vehicle used by the criminal and taken from infrared camera and weak in visibility. In this paper an image processing Strategy is proposed for those security applications where less visibility of colour images creates a stage of confusion in getting the numbers on the number plate. Key Words: Pixel, hysteresis, non maximal Supression 1.INTRODUCTION In law enforcement the numbers of less visible vehicle number plate image is a difficult task.As the criminal activity is mostly happened at night so the less visibility of light and dark creates less visibility of images taken by cameras. So for these challenges an image processing technique is required to find that number by increasing the visibility of the number plate. Detection of edges is an well known image processing method for enhancing the visibility of the edges of blurred image. It process by extracting discontinuities in brightness. Edge detection is used for segmentation of blurred images and edge detection in application such as image processing for security applications. 2.BACKGROUND In number plate detection from a less visible number plate image by processing in image processing is very helpful for law enforcement. Here an algorithm used for numbers detection Which is based on background differencing and thresholding operations. The Performance of this method of image detection is heavily based on the background updating and threshold selection techniques. Since different edge detectors work better under different conditions, it would be ideal to have an method that makes use of multiple process of edge detectors, applying each one when the scene situation are most ideal for its method of detection. In order to create this system, you must first know which edge detectors perform better under which conditions. multi-edge-detector system, which analyzes the scene and runs the edge detector best suited for the current set of data. For one of the edge detectors we considered two different ways of implementation, one using intensity only and the other using color information. There are many methods for edge detection, but most of them can be grouped into two categories, search-based and zero-crossing based. The search-based methods detect edges by first computing a measure of edge strength, usually a first-order derivative expression such as the gradient magnitude, and then searching for local directional maxima of the gradient magnitude using a computed estimate of the local orientation of the edge, usually the gradient direction. The zero-crossing based methods search for zero crossings in a second-order derivative expression computed from the image in order to find edges, usually the zero-crossings of the Laplacian or the zero-crossings of a non-linear differential expression. 3. DESIGN ALGORITHUM Fig -1: Illustration of process involved in canny detection technique. It is hard to find the gradient by using equation (1) (1)