Detection for non-genuine identification documents

Calvin Yap; Koksheik Wong; Ganesh Krishnasamy; Ian K.T. Tan

doi:10.1109/ISPACS57703.2022.10082800

Detection for non-genuine identification documents

Calvin Yap, Koksheik Wong, Ganesh Krishnasamy, Ian K.T. Tan

Malaysia Sch of Information Technology

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

Abstract

Due to the recent pandemic, electronic know-your-customer (e-KYC) technologies have enabled business continuity for various sectors. In the case of Malaysia, the Malaysia National Identity card (MyKad) is often used as the official document for identity-verification purposes. However, when presenting MyKad online, the uploaded MyKad could be an image of the actual MyKad taken a few years back, a printout of a legit MyKad, or a digitally/physically tampered MyKad. This research aims to detect non-genuine MyKad. Specifi-cally, we consider the unique colour count, the surface rough-ness score (i.e., complexity), and local binary patterns (LBP) of the received MyKad image to make inferences. The proposed method achieves an accuracy of 97.71% and an Fl-score of 0.9773.

Original language	English
Title of host publication	2022 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2022
Editors	Hitoshi Kiya
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Number of pages	4
ISBN (Electronic)	9798350332421
ISBN (Print)	9798350332438
DOIs	https://doi.org/10.1109/ISPACS57703.2022.10082800
Publication status	Published - 2022
Event	IEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) 2022 - Penang, Malaysia Duration: 22 Nov 2022 → 25 Nov 2022 https://ieeexplore.ieee.org/xpl/conhome/10082768/proceeding (Proceedings) https://web.archive.org/web/20220925073530/https://www.ispacs2022.org/committee.html (Website)

Conference

Conference	IEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) 2022
Abbreviated title	ISPACS 2022
Country/Territory	Malaysia
City	Penang
Period	22/11/22 → 25/11/22
Internet address	https://ieeexplore.ieee.org/xpl/conhome/10082768/proceeding (Proceedings) https://web.archive.org/web/20220925073530/https://www.ispacs2022.org/committee.html (Website)

Keywords

e-KYC
local binary patterns
surface roughness
Tampering detection
unique colour count

Access to Document

10.1109/ISPACS57703.2022.10082800

Cite this

@inproceedings{be470bd01ea0435f9145ee7615e980fe,

title = "Detection for non-genuine identification documents",

abstract = "Due to the recent pandemic, electronic know-your-customer (e-KYC) technologies have enabled business continuity for various sectors. In the case of Malaysia, the Malaysia National Identity card (MyKad) is often used as the official document for identity-verification purposes. However, when presenting MyKad online, the uploaded MyKad could be an image of the actual MyKad taken a few years back, a printout of a legit MyKad, or a digitally/physically tampered MyKad. This research aims to detect non-genuine MyKad. Specifi-cally, we consider the unique colour count, the surface rough-ness score (i.e., complexity), and local binary patterns (LBP) of the received MyKad image to make inferences. The proposed method achieves an accuracy of 97.71% and an Fl-score of 0.9773.",

keywords = "e-KYC, local binary patterns, surface roughness, Tampering detection, unique colour count",

author = "Calvin Yap and Koksheik Wong and Ganesh Krishnasamy and Tan, {Ian K.T.}",

note = "Funding Information: This work was partly supported by MDEC MyIndustryAI 979-8-3503-3242-1/22/$31.00 {\textcopyright}2022 IEEE Publisher Copyright: {\textcopyright} 2022 IEEE.; IEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) 2022, ISPACS 2022 ; Conference date: 22-11-2022 Through 25-11-2022",

year = "2022",

doi = "10.1109/ISPACS57703.2022.10082800",

language = "English",

isbn = "9798350332438",

editor = "Hitoshi Kiya",

booktitle = "2022 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2022",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/10082768/proceeding, https://web.archive.org/web/20220925073530/https://www.ispacs2022.org/committee.html",

}

Yap, C, Wong, K , Krishnasamy, G & Tan, IKT 2022, Detection for non-genuine identification documents. in H Kiya (ed.), 2022 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2022. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, IEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) 2022, Penang, Malaysia, 22/11/22. https://doi.org/10.1109/ISPACS57703.2022.10082800

Detection for non-genuine identification documents. / Yap, Calvin; Wong, Koksheik ; Krishnasamy, Ganesh et al.
2022 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2022. ed. / Hitoshi Kiya. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2022.

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

TY - GEN

T1 - Detection for non-genuine identification documents

AU - Yap, Calvin

AU - Wong, Koksheik

AU - Krishnasamy, Ganesh

AU - Tan, Ian K.T.

PY - 2022

Y1 - 2022

N2 - Due to the recent pandemic, electronic know-your-customer (e-KYC) technologies have enabled business continuity for various sectors. In the case of Malaysia, the Malaysia National Identity card (MyKad) is often used as the official document for identity-verification purposes. However, when presenting MyKad online, the uploaded MyKad could be an image of the actual MyKad taken a few years back, a printout of a legit MyKad, or a digitally/physically tampered MyKad. This research aims to detect non-genuine MyKad. Specifi-cally, we consider the unique colour count, the surface rough-ness score (i.e., complexity), and local binary patterns (LBP) of the received MyKad image to make inferences. The proposed method achieves an accuracy of 97.71% and an Fl-score of 0.9773.

AB - Due to the recent pandemic, electronic know-your-customer (e-KYC) technologies have enabled business continuity for various sectors. In the case of Malaysia, the Malaysia National Identity card (MyKad) is often used as the official document for identity-verification purposes. However, when presenting MyKad online, the uploaded MyKad could be an image of the actual MyKad taken a few years back, a printout of a legit MyKad, or a digitally/physically tampered MyKad. This research aims to detect non-genuine MyKad. Specifi-cally, we consider the unique colour count, the surface rough-ness score (i.e., complexity), and local binary patterns (LBP) of the received MyKad image to make inferences. The proposed method achieves an accuracy of 97.71% and an Fl-score of 0.9773.

KW - e-KYC

KW - local binary patterns

KW - surface roughness

KW - Tampering detection

KW - unique colour count

UR - http://www.scopus.com/inward/record.url?scp=85152277686&partnerID=8YFLogxK

U2 - 10.1109/ISPACS57703.2022.10082800

DO - 10.1109/ISPACS57703.2022.10082800

M3 - Conference Paper

AN - SCOPUS:85152277686

SN - 9798350332438

BT - 2022 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2022

A2 - Kiya, Hitoshi

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) 2022

Y2 - 22 November 2022 through 25 November 2022

ER -

Detection for non-genuine identification documents

Abstract

Conference

Keywords

Access to Document

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