University of Hertfordshire

By the same authors

Shape and Texture Combined Face Recognition for Detection of Forged ID Documents

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Shape and Texture Combined Face Recognition for Detection of Forged ID Documents. / Sáez-Trigueros, Daniel; Hertlein, Heinz; Meng, Li; Hartnett, Margaret.

the 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016. Croatia : IEEE, 2016. p. 1343-1348.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Sáez-Trigueros, D, Hertlein, H, Meng, L & Hartnett, M 2016, Shape and Texture Combined Face Recognition for Detection of Forged ID Documents. in the 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016. IEEE, Croatia, pp. 1343-1348, The 39th International ICT Convention - MIPRO 2016, Opatija, Croatia, 30/05/16. https://doi.org/10.1109/MIPRO.2016.7522348

APA

Sáez-Trigueros, D., Hertlein, H., Meng, L., & Hartnett, M. (2016). Shape and Texture Combined Face Recognition for Detection of Forged ID Documents. In the 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016 (pp. 1343-1348). IEEE. https://doi.org/10.1109/MIPRO.2016.7522348

Vancouver

Sáez-Trigueros D, Hertlein H, Meng L, Hartnett M. Shape and Texture Combined Face Recognition for Detection of Forged ID Documents. In the 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016. Croatia: IEEE. 2016. p. 1343-1348 https://doi.org/10.1109/MIPRO.2016.7522348

Author

Sáez-Trigueros, Daniel ; Hertlein, Heinz ; Meng, Li ; Hartnett, Margaret. / Shape and Texture Combined Face Recognition for Detection of Forged ID Documents. the 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016. Croatia : IEEE, 2016. pp. 1343-1348

Bibtex

@inproceedings{1ed43dada53041a48301d95264470721,
title = "Shape and Texture Combined Face Recognition for Detection of Forged ID Documents",
abstract = "This paper proposes a face recognition system that can be used to effectively match a face image scanned from an identity (ID) doc-ument against the face image stored in the biometric chip of such a document. The purpose of this specific face recognition algorithm is to aid the automatic detection of forged ID documents where the photography printed on the document{\textquoteright}s surface has been altered or replaced. The proposed algorithm uses a novel combination of texture and shape features together with sub-space representation techniques. In addition, the robustness of the proposed algorithm when dealing with more general face recognition tasks has been proven with the Good, the Bad & the Ugly (GBU) dataset, one of the most challenging datasets containing frontal faces. The proposed algorithm has been complement-ed with a novel method that adopts two operating points to enhance the reliability of the algorithm{\textquoteright}s final verification decision.",
author = "Daniel S{\'a}ez-Trigueros and Heinz Hertlein and Li Meng and Margaret Hartnett",
year = "2016",
month = jul,
day = "28",
doi = "10.1109/MIPRO.2016.7522348",
language = "English",
isbn = " 978-953-233-087-8 ",
pages = "1343--1348",
booktitle = "the 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016",
publisher = "IEEE",
note = "The 39th International ICT Convention - MIPRO 2016 ; Conference date: 30-05-2016 Through 01-06-2016",
url = "http://mipro-proceedings.com/",

}

RIS

TY - GEN

T1 - Shape and Texture Combined Face Recognition for Detection of Forged ID Documents

AU - Sáez-Trigueros, Daniel

AU - Hertlein, Heinz

AU - Meng, Li

AU - Hartnett, Margaret

PY - 2016/7/28

Y1 - 2016/7/28

N2 - This paper proposes a face recognition system that can be used to effectively match a face image scanned from an identity (ID) doc-ument against the face image stored in the biometric chip of such a document. The purpose of this specific face recognition algorithm is to aid the automatic detection of forged ID documents where the photography printed on the document’s surface has been altered or replaced. The proposed algorithm uses a novel combination of texture and shape features together with sub-space representation techniques. In addition, the robustness of the proposed algorithm when dealing with more general face recognition tasks has been proven with the Good, the Bad & the Ugly (GBU) dataset, one of the most challenging datasets containing frontal faces. The proposed algorithm has been complement-ed with a novel method that adopts two operating points to enhance the reliability of the algorithm’s final verification decision.

AB - This paper proposes a face recognition system that can be used to effectively match a face image scanned from an identity (ID) doc-ument against the face image stored in the biometric chip of such a document. The purpose of this specific face recognition algorithm is to aid the automatic detection of forged ID documents where the photography printed on the document’s surface has been altered or replaced. The proposed algorithm uses a novel combination of texture and shape features together with sub-space representation techniques. In addition, the robustness of the proposed algorithm when dealing with more general face recognition tasks has been proven with the Good, the Bad & the Ugly (GBU) dataset, one of the most challenging datasets containing frontal faces. The proposed algorithm has been complement-ed with a novel method that adopts two operating points to enhance the reliability of the algorithm’s final verification decision.

U2 - 10.1109/MIPRO.2016.7522348

DO - 10.1109/MIPRO.2016.7522348

M3 - Conference contribution

SN - 978-953-233-087-8

SP - 1343

EP - 1348

BT - the 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016

PB - IEEE

CY - Croatia

T2 - The 39th International ICT Convention - MIPRO 2016

Y2 - 30 May 2016 through 1 June 2016

ER -