ALPR- Automatic License Plate Recognition

(7 customer reviews)

$0.00

Total downloads: 458

This product uses the ALPR open source package to detect the license plate and track the plate number. The moving vehicle is tracked &  segmented from the background to narrow down the search region of ALPR. The code is written in python and easy to use in windows & Linux but tested with windows only.

This repository contains:

  • python code
  • input video
Categories: , Tags: , ,

Description

 

We have used openALPR to locate the license plate in each frame and to detect the moving vehicle license plate number. The GMM background subtraction followed by some morphological operations algorithm detects the moving vehicle and feed that cropped part to openALPR with some tweaking in its configuration to improve the accuracy.

How to Run

We consider that you have already installed openALPR in windows.

Here is the instruction to run the script followed by an example.

step1: go to the directory where code exists
step2: use it as

main.py <-c><country code> <–config><C:/openALPR_1/openalpr_64/openalpr.conf> <–runtime_data><C:/openALPR_1/openalpr_64/runtime_data> <video file> <threshold value to detect vehicle>

default config and runtime is saved in code as per my system path as

config-C:/openALPR_1/openalpr_64/openalpr.conf
runtime path-C:/openALPR_1/openalpr_64/runtime_data

* you can change the default settings

step3: example

F:\odesk\Francisco-2\alpr_2>python main.py -c mx F:/odesk/Francisco-2/OneDrive-2018-02-01/15ene2018.avi 100000

Install openALPR

This link helps for it  https://stackoverflow.com/questions/39092992/install-openalpr-in-windows-python

7 reviews for ALPR- Automatic License Plate Recognition

  1. chotta bheem (verified owner) –

    good

  2. admin (verified owner) –

    good product

  3. chandra.jonala (verified owner) –

    Thank you

  4. chandra.jonala (verified owner) –

    Thank you

  5. marjan (verified owner) –

    good

  6. arthur.guedes (verified owner) –

    Excellent

  7. yang.mengsi (verified owner) –

    very great！

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