METHOD AND SYSTEM FOR ANALYZING IMAGE IDENTIFICATIONS TO IDENTIFY AN ENTITY

Patent №

US 8,094,887

Granted

2012-01-10

Filed 2007

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

3

nlp · vision · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11693944

A method for analyzing image identifications to determine whether image identifications identify an entity (e.g., license plate of a vehicle). Identification sets are received from at least one optical character recognition (OCR) engine. Each identification set includes a character string and an associated confidence level. Each character string is derived by the respective OCR engine from an image of the entity. An identification set is received from each OCR engine. The character strings are compared, resulting in identifying all conflicting character strings, wherein any two non-identical character strings are considered to be conflicting. The confidence level in each identification set is analyzed, resulting in determining whether each confidence level exceeds a predefined threshold confidence level. At least one rule is applied to the preceding results to ascertain whether or not the entity has been identified. An indication of whether or not the entity has been identified is stored.

Natural languageVisionPlanningG08G 1/017G06V 10/987G07B 15/063

AI classification

Natural language1.00
Planning1.00
Vision1.00
AI hardware0.40
Knowledge representation0.24
Machine learning0.00
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 190920114

Assignors

AXEMO, SVEN GEORG, HAMILTON, CARL VIKTOR AUGUST JOHNSSON, SANAMRAD, MOHAMMAD ALI, TESDORF, ALEXIS WILLIAM GUSTAF

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

From the same owner

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