arXiv:2104.09568
Detecting Vehicle Type and License Plate Number of different Vehicles on Images
원문 초록
With ever increasing number of vehicles, vehicular tracking is one of the major challenges faced by urban areas. In this paper we try to develop a model that can locate a particular vehicle that the user is looking for depending on two factors 1. the Type of vehicle and the 2. License plate number of the car. The proposed system uses a unique mixture consisting of Mask R-CNN model for vehicle type detection, WpodNet and pytesseract for License Plate detection and Prediction of letters in it.
함께 살펴볼 논문
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A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-Shot
SamLP: A Customized Segment Anything Model for License Plate Detection
Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition
Character Time-series Matching For Robust License Plate Recognition
IR-LPR: Large Scale of Iranian License Plate Recognition Dataset
토론
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