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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Vehicle Number Recognition using Existing General Surveillance Cameras |
| Authors Name: | DHINESH KUMAR |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_210075
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| Published Paper Id: | IJNRD2312117 |
| Published In: | Volume 8 Issue 12, December-2023 |
| DOI: | |
| Abstract: | Automated number Plate recognition (ANPR), additionally referred to as automated vehicle identity (AVI), is a era that makes use of optical character recognition (OCR) on images to examine vehicle registration plates to create vehicle location facts. it may use existing closed-circuit tv (CCTV), avenue-rule enforcement cameras, or cameras especially designed for the venture. ANPR is utilized by police forces round the world for regulation enforcement purposes, inclusive of checking if a vehicle is registered or certified. it is also used for digital toll series on pay-per-use roads and as a way of cataloguing the actions of site visitors, for example via highways organizations. This paper proposes a singular method to ANPR that utilizes present surveillance cameras. The proposed method includes three foremost stages: Image Preprocessing: This level includes enhancing the pleasant of the captured photographs by means of casting off noise, correcting illumination variations, and normalizing the contrast. License plate Detection: This degree utilizes item detection techniques to perceive and localize potential registration code regions within the pre-processed pics. Character recognition: This level employs optical individual reputation (OCR) to extract and apprehend the characters on the detected license plates. The proposed method has been evaluated on a dataset of surveillance photos containing various types of motors and license plates. Experimental effects display that the proposed approach achieves high accuracy in detecting and recognizing license plates beneath tough situations. |
| Keywords: | Automated number Plate recognition (ANPR), Surveillance Cameras, object Detection, Optical character recognition (OCR) |
| Cite Article: | "Vehicle Number Recognition using Existing General Surveillance Cameras", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 12, page no.a982-a987, December-2023, Available :http://www.ijnrd.org/papers/IJNRD2312117.pdf |
| Downloads: | 000118756 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2312117 Registration ID: 210075 Published In: Volume 8 Issue 12, December-2023 DOI (Digital Object Identifier): Page No: a982-a987 Country: SRIKAKULAM, ANDHRA PRADESH, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2312117 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2312117 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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