Tesseract-OCR Based Automatic NPR System On Raspberry Pi |
Author(s): |
| Prof. Sanay Chopade , Department of E&TC Engineering,SITRC,Mahiravani,Nashik,Maharashtra,India; Sagar Gharte, Department of E&TC Engineering,SITRC,Mahiravani,Nashik,Maharashtra,India; Deepak Chahuan, Department of E&TC Engineering,SITRC,Mahiravani,Nashik,Maharashtra,India; Swapnil Agale, Department of E&TC Engineering,SITRC,Mahiravani,Nashik,Maharashtra,India; Pranav Lute, Department of E&TC Engineering,SITRC,Mahiravani,Nashik,Maharashtra,India |
Keywords: |
| NPR, Open CV, PS3 Camera, Python, Raspberry-Pi, Tesseract |
Abstract |
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Automatic number plate recognition (NPR) system plays an important role in numerous applications, such as parking a systems, traffic law enforcement, road monitor, electronic-police system, and security systems. NPR involves three main components: Number plate detection, character segmentation and Optical Character Recognition (OCR). For Number Plate Detection and character segmentation, we are going to use OpenCV libraries. And for OCR, Tesseract-OCR.There are numerous NPR systems available today. These systems are based on various methodologies but perhaps it is really tricky job as some of the factors like fast speed of vehicle, inappropriate vehicle number plate, language of motor vehicle number and different light conditions has significant overload on the overall recognition rate. Most of the systems work under these limitations. |
Other Details |
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Paper ID: IJSRDV4I10611 Published in: Volume : 4, Issue : 1 Publication Date: 01/04/2016 Page(s): 1233-1237 |
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