Real Time Number Plate Recognition System using Hybrid Models
P.Narasimha Rao
, Y.Srinivas
Image Acquisition, Localization, Extraction of Number plate, Character Segmentation, Template Matching
This Paper presents a new approach for number plate recognition system to extract details from license plates. It was decomposed into three stages. The first stage was to extract number plate region from the captured image. Then top- hat transformation technique is used for this purpose. Second stage is to segment the extracted number plate characters by using Blob analysis. And final stage is to recognition the segmented characters using template matching. Further, extractions of number plate region in adverse conditions were considered. In this work, it is proposed that Top-hat transformation technique is used to eliminate some adverse conditions such as rain, dust, different fonts, extra characters on the number plate and skewed input cars.
"Real Time Number Plate Recognition System using Hybrid Models", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 8, page no.1 - 5, August-2019, Available :https://ijsdr.org/papers/IJSDR1908001.pdf
Volume 4
Issue 8,
August-2019
Pages : 1 - 5
Paper Reg. ID: IJSDR_190873
Published Paper Id: IJSDR1908001
Downloads: 000347042
Research Area: Engineering
Country: WEST GODAVARI(DIST), ANDHRAPRADESH, India
DOI: http://doi.one/10.1729/Journal.21917
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
