Design and Enhancement of License Plate Images Based on Kernel Estimation using Adaptive Filter
B. Harichandana1, K. Lavanya2, P. Sumalatha3, C. Krishnapriya4
1B. Harichandana, Research Scholar, Department of Computer Science and Technology, S.K. University, Anantapur (Andhra Pradesh), India.
2K. Lavanya, Research Scholar, Department of Computer Science and Technology, S.K. University, Anantapur (Andhra Pradesh), India.
3P. Sumalatha, Assistant Professor, Sri Vani Institute of Management and Sciences, Anantapur (Andhra Pradesh), India.
4C. Krishnapriya, Assistant Professor, Department of Computer Science and I.T, Central University of Andhra Pradesh, Anantapur (Andhra Pradesh), India.
Manuscript received on 22 November 2019 | Revised Manuscript received on 10 December 2019 | Manuscript Published on 30 December 2019 | PP: 110-113 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10271292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1027.1292S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The speed of vehicles is uncovered because of hit and run accidents are occurred. Generally, the fast moving vehicle image is captured by the surveillance camera. The images that are observed by this camera consist of low resolution and the image will be in the blur format. Because of this the information will be loss. In this paper, to overcome this issue with the design and enhancement of license plate images based on kernel estimation using adaptive filter. Here the information patches are selected from the given images. From these images the edge prediction is performed. It means here it will determine the angle and length of the observations. After this kernel estimation operation is performed. Hence the proposed system can evaluate the images of real world and handle the motion of images when the license plate is unrecognizable. At last the proposed system gives effective output compared to other systems.
Keywords: Kernel Estimation, Edge Prediction, Adaptive Filter, License Plate.
Scope of the Article: Image Security