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patent

Method of handwritten character recognition confirmation

Zolna, Konrad
•
Asselborn, Thibault  
•
Johal, Wafa  
2019

The present invention concerns a method for an artificial neural network to confirm the recognition of handwritten characters produced by a user. The method comprising: training (21) the artificial neural network with a training data set comprising a first set of characters; collecting (23) handwritten characters of a second set of characters produced by the user; and analysing (25, 27) the collected characters of the second set of characters by using the artificial neural network to obtain a first set of probability values comprising character specific probability values for the collected characters, each character specific probability value indicating the probability that the collected character has been correctly interpreted. The analysis considers at least the manner how the collected characters are handwritten and the appearance of the collected characters to obtain the character specific probability values. The invention also relates to a corresponding data processing apparatus.

  • Details
  • Metrics
Type
patent
EPO Family ID

60702617

Author(s)
Zolna, Konrad
•
Asselborn, Thibault  
•
Johal, Wafa  
Note

Alternative title(s) : (fr) Procédé de confirmation de la reconnaissance de caractères manuscrits

TTO classification

TTO:6.1772

EPFL units
AVP-R-TTO  
CHILI  
DOICountry codeKind codeDate issued

US11164025

US

B2

2021-11-02

EP3714400

EP

A1

2020-09-30

US2020285877

US

A1

2020-09-10

WO2019101338

WO

A1

2019-05-31

Available on Infoscience
December 5, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/163762
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