A practical approach to validate the authenticity of identity documents

Ignacio Marin-Aguilar; Luis Alberto Chavarria-Zamora; Leonardo Araya-Martinez

doi:10.1109/LAEDC54796.2022.9908240

A practical approach to validate the authenticity of identity documents

Ignacio Marin-Aguilar
, Luis Alberto Chavarria-Zamora
, Leonardo Araya-Martinez

Escuela de Ingeniería en Computadores

Costa Rica Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

There is a need for a system capable of determining the authenticity of identity documents in a simple way due to the increase over the years of crimes such as fraud and identity theft, this in the specific case of Costa Rica; the reason for this situation is that many processes and transactions can be carried out virtually, which opens the door for this type of crime to take place. For the above purpose, the present work consists of the research, design, and development of a prototype system to determine whether an identification document is authentic. This authenticity estimator consists of a composition of algorithms applied to images, such as filters and transformations; in order to perform a process called Optical Character Recognition (OCR), which consists of the recognition of symbols or characters from a given image. This proposal uses classical computer vision techniques, although it is important to mention that machine learning techniques can also be used for this purpose. Nevertheless, with this approach, 80 percent of accuracy was obtained in the recognition of identity documents.

Original language	English
Title of host publication	2022 IEEE Latin America Electron Devices Conference, LAEDC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665497671
DOIs	https://doi.org/10.1109/LAEDC54796.2022.9908240
State	Published - 2022
Event	2022 IEEE Latin America Electron Devices Conference, LAEDC 2022 - Cancun, Mexico Duration: 4 Jul 2022 → 6 Jul 2022

Publication series

Name	2022 IEEE Latin America Electron Devices Conference, LAEDC 2022

Conference

Conference	2022 IEEE Latin America Electron Devices Conference, LAEDC 2022
Country/Territory	Mexico
City	Cancun
Period	4/07/22 → 6/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Computer Vision
Documents Authenticity
Identity Protection
Image Processing
Optical Character Recognition
Pattern Recognition

Access to Document

10.1109/LAEDC54796.2022.9908240

Cite this

Marin-Aguilar, I., Chavarria-Zamora, L. A., & Araya-Martinez, L. (2022). A practical approach to validate the authenticity of identity documents. In 2022 IEEE Latin America Electron Devices Conference, LAEDC 2022 (2022 IEEE Latin America Electron Devices Conference, LAEDC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LAEDC54796.2022.9908240

@inproceedings{224b6d67f38e41e7bf4d30504515ddd9,

title = "A practical approach to validate the authenticity of identity documents",

abstract = "There is a need for a system capable of determining the authenticity of identity documents in a simple way due to the increase over the years of crimes such as fraud and identity theft, this in the specific case of Costa Rica; the reason for this situation is that many processes and transactions can be carried out virtually, which opens the door for this type of crime to take place. For the above purpose, the present work consists of the research, design, and development of a prototype system to determine whether an identification document is authentic. This authenticity estimator consists of a composition of algorithms applied to images, such as filters and transformations; in order to perform a process called Optical Character Recognition (OCR), which consists of the recognition of symbols or characters from a given image. This proposal uses classical computer vision techniques, although it is important to mention that machine learning techniques can also be used for this purpose. Nevertheless, with this approach, 80 percent of accuracy was obtained in the recognition of identity documents.",

keywords = "Computer Vision, Documents Authenticity, Identity Protection, Image Processing, Optical Character Recognition, Pattern Recognition",

author = "Ignacio Marin-Aguilar and Chavarria-Zamora, \{Luis Alberto\} and Leonardo Araya-Martinez",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Latin America Electron Devices Conference, LAEDC 2022 ; Conference date: 04-07-2022 Through 06-07-2022",

year = "2022",

doi = "10.1109/LAEDC54796.2022.9908240",

language = "Ingl{\'e}s",

series = "2022 IEEE Latin America Electron Devices Conference, LAEDC 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE Latin America Electron Devices Conference, LAEDC 2022",

}

Marin-Aguilar, I, Chavarria-Zamora, LA & Araya-Martinez, L 2022, A practical approach to validate the authenticity of identity documents. in 2022 IEEE Latin America Electron Devices Conference, LAEDC 2022. 2022 IEEE Latin America Electron Devices Conference, LAEDC 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Latin America Electron Devices Conference, LAEDC 2022, Cancun, Mexico, 4/07/22. https://doi.org/10.1109/LAEDC54796.2022.9908240

A practical approach to validate the authenticity of identity documents. / Marin-Aguilar, Ignacio; Chavarria-Zamora, Luis Alberto; Araya-Martinez, Leonardo.
2022 IEEE Latin America Electron Devices Conference, LAEDC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Latin America Electron Devices Conference, LAEDC 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A practical approach to validate the authenticity of identity documents

AU - Marin-Aguilar, Ignacio

AU - Chavarria-Zamora, Luis Alberto

AU - Araya-Martinez, Leonardo

PY - 2022

Y1 - 2022

N2 - There is a need for a system capable of determining the authenticity of identity documents in a simple way due to the increase over the years of crimes such as fraud and identity theft, this in the specific case of Costa Rica; the reason for this situation is that many processes and transactions can be carried out virtually, which opens the door for this type of crime to take place. For the above purpose, the present work consists of the research, design, and development of a prototype system to determine whether an identification document is authentic. This authenticity estimator consists of a composition of algorithms applied to images, such as filters and transformations; in order to perform a process called Optical Character Recognition (OCR), which consists of the recognition of symbols or characters from a given image. This proposal uses classical computer vision techniques, although it is important to mention that machine learning techniques can also be used for this purpose. Nevertheless, with this approach, 80 percent of accuracy was obtained in the recognition of identity documents.

AB - There is a need for a system capable of determining the authenticity of identity documents in a simple way due to the increase over the years of crimes such as fraud and identity theft, this in the specific case of Costa Rica; the reason for this situation is that many processes and transactions can be carried out virtually, which opens the door for this type of crime to take place. For the above purpose, the present work consists of the research, design, and development of a prototype system to determine whether an identification document is authentic. This authenticity estimator consists of a composition of algorithms applied to images, such as filters and transformations; in order to perform a process called Optical Character Recognition (OCR), which consists of the recognition of symbols or characters from a given image. This proposal uses classical computer vision techniques, although it is important to mention that machine learning techniques can also be used for this purpose. Nevertheless, with this approach, 80 percent of accuracy was obtained in the recognition of identity documents.

KW - Computer Vision

KW - Documents Authenticity

KW - Identity Protection

KW - Image Processing

KW - Optical Character Recognition

KW - Pattern Recognition

UR - https://www.scopus.com/pages/publications/85141386675

U2 - 10.1109/LAEDC54796.2022.9908240

DO - 10.1109/LAEDC54796.2022.9908240

M3 - Contribución a la conferencia

AN - SCOPUS:85141386675

T3 - 2022 IEEE Latin America Electron Devices Conference, LAEDC 2022

BT - 2022 IEEE Latin America Electron Devices Conference, LAEDC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Latin America Electron Devices Conference, LAEDC 2022

Y2 - 4 July 2022 through 6 July 2022

ER -

A practical approach to validate the authenticity of identity documents

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this