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Real-Time Vehicle-Type Categorization and Character Extraction from the License Plates

  • Sneha Pavaskar
  • Suneeta Budihal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

Modern-day Intelligent Transportation System (ITS) needs heavy attention due to presence of existing infrastructure of roadways that is worsening with growing traffic. Thus, monitoring and controlling the traffic becomes a tedious task, hence automatic control is required rather than manual controlling. The vehicles are classified into the following types: Bike, Car, Auto-rickshaw, and HMV. Detection of vehicles is the main key task for the classification and also keeping a count of it. The proposed framework includes the vehicle-type classification by considering two features namely, contour formation for detection of vehicles and other is the concept of convex hull, which helps in classifying the vehicles. Text extraction from the vehicle license plates is another necessary task for ITS. KNN algorithm is used to create the xml les that is utilized to identify the characters and accordingly display it on the image and displays its effectiveness. This technique holds good for both single-lined and double-lined license plate reading efficiently, the concept of Tesseract-OCR is also used for character recognition and then the correctness is being compared for their effectiveness.

Keywords

Convex Hull Heavy motor vehicles (HMV) Intelligent transport systems (ITS) K-Nearest neighbors (KNN) Tesseract-OCR (Optical character Recognition) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of ECEKLE Technological UniversityHubballiIndia

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