Image Segmentation for Pattern Recognition in Surveillance
C.M.Sheela Rani1, K. Dheeraj2, P.Sai Vineeth Reddy3, K.SatyaSai4
1C.M.Sheela Rani, Department of Computer and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India.
2K. Dheeraj, Department of Computer and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India.
3P.Sai Vineeth Reddy, Department of Computer and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India.
4K.SatyaSai, Department of Computer and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India.
Manuscript received on 18 February 2018 | Revised Manuscript received on 27 February 2018 | Manuscript published on 28 February 2018 | PP: 45-48 | Volume-7 Issue-3, February 2018 | Retrieval Number: C5302027318/18©BEIESP
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: Movement control and vehicle proprietor recognizable proof has turned out to be real issue in each nation. Now and then it winds up noticeably very hard to recognize vehicle’s proprietor who disregards movement standards and drives too quick. In this manner, it isn’t conceivable to get and rebuff those sorts of individuals in light of the fact that the activity individual won’t not have the capacity to recover number from the vehicle compared with speed of distinctive vehicle. Hence, we create Automatic Number Plate Recognition (ANPR) framework is one of the answers for the problem. Robotized Number Plate Recognition framework would significantly upgrade the capacity of police to identify criminal action that includes the utilization of engine vehicles.
Keywords: Automatic Number Plate Recognition, Template Matching
Scope of the Article: Pattern Recognition