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Recognizability assessment of facial images for automated teller machine applications

Title
Recognizability assessment of facial images for automated teller machine applications
Author
정호기
Keywords
Recognizability assessment; Facial image; Automated teller machine (ATM); Facial occlusion; Component-based face detection
Issue Date
2012-05
Publisher
ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Citation
Pattern recognition, Vol.45 No.5 [2012], 1899-1914
Abstract
Crimes related to automated teller machines (ATMs) have increased as a result of the recent popularity in the devices. One of the most practical approaches for preventing such crimes is the installation of cameras in ATMs to capture the facial images of users for follow-up criminal investigations. However, this approach is vulnerable in cases where a criminal's face is occluded. Therefore, this paper proposes a system which assesses the recognizability of facial images of ATM users to determine whether their faces are severely occluded. The proposed system uses a component-based face candidate generation and verification approach to handle various facial postures and acceptable partial occlusions. Element techniques are implemented via grayscale image-based methods which are robust against illumination conditions compared to skin color detection approach. The system architecture for achieving both high performance and cost-efficiency is proposed to make the system applicable to practical ATM environments. In the experiment, the feasibility of the proposed system was evaluated using a large-scale facial occlusion database consisting of 3168 image sequences including 21 facial occlusions, 8 illumination conditions, and 2 acquisition scenarios. Based on the results, we drew up the guidelines of recognizability assessment systems for ATM applications. (C) 2011 Elsevier Ltd. All rights reserved.
URI
http://www.sciencedirect.com/science/article/pii/S0031320311004663?via%3Dihubhttp://hdl.handle.net/20.500.11754/37349
ISSN
0031-3203
DOI
10.1016/j.patcog.2011.11.014
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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