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Verification Tasks through Deep Learning in a Semantic Information Extraction System

Authors:
Angel Luis Garrido
Norman U. Bellorín
Alvaro Peiró
Eduardo Mena

Keywords: Computer vision; Knowledge-Based Systems; Deep Learning.

Abstract:
Nowadays, the use of applications that validate identity documents is already widespread. The problem is when, for multiple reasons, the image sent to these systems is impossible to process, either due to lack of definition, because the image is incomplete, or simply because it is not the correct document, among other reasons. To bypass this type of errors, a prior image verification process is proposed, which avoids the superfluous use of resources for an unattainable validation. For this, we have designed a working methodology that combines several Artificial Intelligence techniques: computer vision, deep learning, and semantics tools. The proposal has been implemented and evaluated in a real environment with promising results.

Pages: 111 to 112

Copyright: Copyright (c) IARIA, 2023

Publication date: November 13, 2023

Published in: conference

ISBN: 978-1-68558-089-6

Location: Valencia, Spain

Dates: from November 13, 2023 to November 17, 2023