AUTOMATED LICENSE PLATE RECOGNITION SYSTEM AND METHOD USING HUMAN-IN-THE-LOOP BASED ADAPTIVE LEARNING
Patent №
US 9,092,979
Granted
2015-07-28
Filed 2010
Owner
XEROX CORPORATION
Lab
—
AI components
4
ml · nlp · vision · planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12967760
An automated license plate recognition (ALPR) system and method using a human-in-the-loop based adaptive learning approach. One or more images with respect to an automotive vehicle can be segmented in order to determine a license plate of the automotive vehicle within a scene. An optical character recognition (OCR) engine loaded with an OCR algorithm can be further adapted to determine a character sequence of the license plate based on a training data set. A confidence level with respect to the images can be generated in order to route a low confidence image to an operator for obtaining a human interpreted image. The parameters with respect to the OCR algorithm can be adjusted based on the human interpreted image and the actual image of the license plate. A license plate design can be then incorporated into the OCR engine in order to automate the process of recognizing the license plate with respect to the automotive vehicle in a wide range of transportation related applications.
AI classification
Ownership
XEROX CORPORATION
assignment · 254990200
Assignors
BURRY, AARON MICHAEL, PAUL, PETER
On an employer assignment, the assignors are typically the inventors.