System security number plate

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dc.contributor.authorHirani, Aslam
dc.contributor.authorAnsari, Arfat (18ME04)
dc.contributor.authorIdrisi, Imanullah (18ME26)
dc.contributor.authorKhan, Mohd Umar (18ME37)
dc.contributor.authorKhan, Shamsuddin (18ME42)
dc.date.accessioned2022-07-29T10:50:49Z
dc.date.available2022-07-29T10:50:49Z
dc.date.issued2022-05
dc.description.abstractToday’s world requires security on each and every area according to there requirement. Hence rapidness and quick working is the most important. Now days for making security system easier, there for making a system security for easy data collection. The engineer inconstantly conformed to the challenges of bringing ideas in to reality. The project “SYSTEM SECURITY NUMBER PLATE‟ this is the security system is based on detection of number plate, which is based on timing of entry and exist of vehicles into a particular area, area is like residential, apartments, malls, hotels etc, Day by day the use of vehicles in our life is rising exponentially and as increasing vehicles are violating the rules of traffic, theft of vehicles, ingoing to restricted areas, abnormal number of accidents lead to upturn in the crime rates linearly. For any vehicle to be acknowledged, vehicle license plate detection will play a main significant job in this active world. In present day scenario vehicles play a vital role in transportation system and the use of vehicles is also increasing exponentially due to the population growth and their needs. License Number plate recognition is an image processing technology that recognizes the authorized vehicles. This project presents an approach based on simple but efficient morphological operation and Sobel edge detection method. This approach is simplified to segmented all the letters and numbers used in the number plate by using bounding box method. After segmentation of numbers and characters present on number plate, template matching approach is used to recognition of numbers and characters. The concentrate is given to locate the number plate region properly to segment all the number and letters to identify each number separately Keywords: Number Plate Recognition (NPR), Support Vector Machine (SVM), Automated Teller Machine.en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3904
dc.language.isoenen_US
dc.publisherAIKTCen_US
dc.subjectProject Report - MEen_US
dc.titleSystem security number plateen_US
dc.typeProject Reporten_US
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