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

Vision1.00
Planning1.00
Machine learning1.00
Natural language0.84
Knowledge representation0.02
AI hardware0.01
Evolutionary computation0.00
Speech0.00

Ownership

XEROX CORPORATION

assignment · 254990200

Assignors

BURRY, AARON MICHAEL, PAUL, PETER

On an employer assignment, the assignors are typically the inventors.

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