Invention Grant
- Patent Title: Method for training a neural network for recognition of a character sequence and associated recognition method
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Application No.: US16235642Application Date: 2018-12-28
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Publication No.: US11748979B2Publication Date: 2023-09-05
- Inventor: Benoit Pelletier , Mathieu Ospici , Marc Platini
- Applicant: BULL SAS
- Applicant Address: FR Les Clayes sous Bois
- Assignee: BULL SAS
- Current Assignee: BULL SAS
- Current Assignee Address: FR Les Clayes sous Bois
- Agency: MEAGHER EMANUEL LAKS GOLDBERG & LIAO, LLP
- Priority: FR 63422 2017.12.29
- Main IPC: G06V10/82
- IPC: G06V10/82 ; G06V20/62 ; G06F18/00 ; G06F18/214 ; G06N3/047 ; G06V10/70 ; G06F16/51 ; G06N3/08 ; G06V30/10

Abstract:
Disclosed is a method for training a neural network, for the recognition of a sequence of characters in an image and without a predefined format, including: a step of creating an artificial database of a plurality of sequences of characters in images, some sequences being generated randomly, other sequences being derived from transformations of sequences generated randomly; a learning step that teaches the neural network to recognize a sequence of characters in an image, directly on at least some of the sequences of the artificial database, without a preliminary subdividing of these sequences into their component characters.
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