Volume 31, Issue 3 (IJIEPR 2020)                   IJIEPR 2020, 31(3): 361-366 | Back to browse issues page


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Punuri S B. Vehicle Tracking System Using Discrete Wavelet Transformation. IJIEPR. 2020; 31 (3) :361-366
URL: http://ijiepr.iust.ac.ir/article-1-1066-en.html
Department of Computer Science and Engineering , sudheerpunuri@giet.edu
Abstract:   (1060 Views)
With the ever-increasing request for speed and the increasing number of Cyber Attacks are having fast and accurate skill to provide verification that is convenient, rapid and exact. Even though possible that it is very difficult to fool Image Recognition Skill in this makes it helpful in serving preclude fraud. In this paper, we propose a model for pixel wise operations, which is needed for identification of a location point.  The computer vision is not limited to pixel wise operations. It can be complex and far more complex than image processing. Initially, we take the unstructured Image Segmentation with the help of K-Means Clustering Algorithm is used. Once complete the preprocessing step then extracts the segmented image from the surveillance cameras to identify the expressions and vehicle images. In the raw image from the surveillance camera is the image of a person and vehicle is to classify with the help DWT. Further, the images of the appearances stood also taken with phenomenon called Smart Selfie Click (SSC). These two features are extracted in-order to identify whether the vehicle should be permitted into the campus or not. Thus, verification is possible. These two images are nothing but reliable object extracted for location identification.
Full-Text [PDF 702 kb]   (361 Downloads)    
Type of Study: Research | Subject: Logistic & Apply Chain
Received: 2020/05/3 | Accepted: 2020/05/3 | Published: 2020/05/3

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