Next Article in Journal
Continuity-Aware Scheduling Algorithm for Scalable Video Streaming
Previous Article in Journal
Video over DSL with LDGM Codes for Interactive Applications
Article Menu

Export Article

Open AccessArticle
Computers 2016, 5(2), 10;

Face Liveness Detection Using Dynamic Local Ternary Pattern (DLTP)

Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
Research Center of Excellence for Wireless and Photonic Network, Serdang 43400, Malaysia
Faculty of Electrical, Electronics and Computer Systems Engineering, Quaid-e-Awam University of Engineering Science and Technology, Nawabshah 67450, Pakistan
Author to whom correspondence should be addressed.
Academic Editor: René Mayrhofer
Received: 23 February 2016 / Revised: 19 May 2016 / Accepted: 20 May 2016 / Published: 24 May 2016
Full-Text   |   PDF [2182 KB, uploaded 24 May 2016]   |  


Face spoofing is considered to be one of the prominent threats to face recognition systems. However, in order to improve the security measures of such biometric systems against deliberate spoof attacks, liveness detection has received significant recent attention from researchers. For this purpose, analysis of facial skin texture properties becomes more popular because of its limited resource requirement and lower processing cost. The traditional method of skin analysis for liveness detection was to use Local Binary Pattern (LBP) and its variants. LBP descriptors are effective, but they may exhibit certain limitations in near uniform patterns. Thus, in this paper, we demonstrate the effectiveness of Local Ternary Pattern (LTP) as an alternative to LBP. In addition, we adopted Dynamic Local Ternary Pattern (DLTP), which eliminates the manual threshold setting in LTP by using Weber’s law. The proposed method was tested rigorously on four facial spoof databases: three are public domain databases and the other is the Universiti Putra Malaysia (UPM) face spoof database, which was compiled through this study. The results obtained from the proposed DLTP texture descriptor attained optimum accuracy and clearly outperformed the reported LBP and LTP texture descriptors. View Full-Text
Keywords: face liveness detection; dynamic local ternary pattern (DLTP); skin texture analysis face liveness detection; dynamic local ternary pattern (DLTP); skin texture analysis

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Parveen, S.; Ahmad, S.M.S.; Abbas, N.H.; Adnan, W.A.W.; Hanafi, M.; Naeem, N. Face Liveness Detection Using Dynamic Local Ternary Pattern (DLTP). Computers 2016, 5, 10.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Computers EISSN 2073-431X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top