Work place: Department of Electronics and Communication Engineering, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur-Kalan, Sonipat, Haryana, India



Research Interests: Image Compression, Image Manipulation, Image Processing


Gargi is a M.Tech student in Department of Electronics and Communication Engineering from Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur-Kalan (Sonepat). She received degree in ECE from Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur-Kalan (Sonepat). Her research interest includes SVM classifier, Image processing and MATLAB.

Author Articles
A Gaussian Filter based SVM Approach for Vehicle Class Identification

By Gargi Sandeep Dahiya

DOI:, Pub. Date: 8 Dec. 2015

Vehicle identification or classification is one of the application areas that come under real time image processing. Vehicle recognition is having the significance in various applications including the traffic monitoring, load monitoring, number plate recognition, vehicle theft prevention, traffic violation detection, management of traffic etc. As the images are captured as primary data source, it can have number of associated impurities which include the background inclusion, object overlapping etc. Because of this, object detection and recognition is always a challenge in real time scenario. In present work, a robust feature based model is presented for feature extraction and classification of vehicle images. The presented model is applied on real time captured image to categorize the vehicle in light, medium and heavy vehicle. Firstly, the vehicle area segmentation is performed and later on the Gaussian filter is applied to extract the image features. This featured dataset is processed under Support Vector Machine (SVM) based distance analysis model for vehicle recognition and vehicle class identification. The experimentation results of present investigation shows the recognition rate of devised system over 90%.

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