G06F 18/00 Pattern recognition
Introduced: January 2023
Additional Content IPC
Glossary
Authentication Verifying the identity of a sample using a test of genuineness. It generally involves a one-to-one comparison with the genuine (authentic) sample. Categorisation Assigning a data sample to a class according to certain distinguishing properties (or characteristics) of that class, and it generally involves a one-to-many test in which one data sample is compared with the characteristics of several classes. Classification Assigning labels to patterns Clustering Grouping data samples in groups or classes based on their properties (or characteristics) and it generally involves a many-to-many (dis)similarity test. Grouping or separating patterns according to their closeness or dissimilarity. Feature extraction Deriving descriptive or quantitative measures from data. Identification In the context of collecting of data samples, identification means selecting a particular sample having a (predefined) characteristic which distinguishes it from the others. Several data samples are generally matched against the characteristic sample in a many-to-one process. Pattern patterns Data having characteristic regularity, or a representation derived from it, having some explanatory value or being able to provide an interpretation.
Application references
Data processing for commercial or financial purposes Image or video recognition or understanding Bioinformatics Chemoinformatics and computational material science Healthcare informatics
IPC and CPC are identically structured here. All 4 subcodes exist in both systems.
IPC defines codes here since 2023.
Child Classifications
Navigate with arrow keys, Enter to open
- G06F 18/40 Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor since 2023 +1 CPC IPC+CPC Available in IPC and CPC
Top Applicants
Top Applicants (IPC)
Class G06,2013–2023, worldwide · Source: EPO PATSTAT
- SAMSUNG ELECTRONICS COMPANY KR 66,669
- IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,313
- MICROSOFT TECHNOLOGY LICENSING US 41,918
- GOOGLE US 32,969
- SGCC(STATE GRID CORPORATION OF CHINA) 30,822
- INTEL CORPORATION US 30,010
- TENCENT TECHNOLOGY (SHENZHEN) COMPANY 28,235
- HUAWEI TECHNOLOGIES COMPANY CN 26,079
- APPLE US 21,891
- HUAWEI TECHNOLOGIES COMPANY 20,505
Top Applicants (CPC)
Class G06,2013–2023, worldwide · Source: EPO PATSTAT
- SAMSUNG ELECTRONICS COMPANY KR 76,952
- IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,841
- MICROSOFT TECHNOLOGY LICENSING US 44,778
- GOOGLE US 35,735
- INTEL CORPORATION US 32,087
- HUAWEI TECHNOLOGIES COMPANY CN 30,572
- TENCENT TECHNOLOGY (SHENZHEN) COMPANY 25,023
- APPLE US 23,482
- SGCC(STATE GRID CORPORATION OF CHINA) 22,548
- HUAWEI TECHNOLOGIES COMPANY 20,917