MIDV-2020: a comprehensive benchmark dataset for identity document analysis

MIDV-2020: a comprehensive benchmark dataset for identity document analysis

Identity documents recognition is an important sub-field of document analysis, which deals with tasks of robust document detection, type identification, text fields recognition, as well as identity fraud prevention and document authenticity validation given photos, scans, or video frames of an ident...

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Bibliographic Details
Main Authors: K.B. Bulatov, E.V. Emelianova, D.V. Tropin, N.S. Skoryukina, Y.S. Chernyshova, A.V. Sheshkus, S.A. Usilin, Z. Ming, J.-C. Burie, M.M. Luqman, V.V. Arlazarov
Format: Article
Language:English
Published: Samara National Research University 2022-04-01
Series:Компьютерная оптика
Subjects:
document analysis
document recognition
identity documents
open data
video recognition
document location
text recognition
face detection
Online Access:https://computeroptics.ru/eng/KO/Annot/KO46-2/460212e.html

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https://computeroptics.ru/eng/KO/Annot/KO46-2/460212e.html

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