Face liveness detection using Dynamic Local Ternary Pattern (DLTP)
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,...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/54262/ http://psasir.upm.edu.my/id/eprint/54262/1/Face%20liveness%20detection%20using%20Dynamic%20Local%20Ternary%20Pattern%20%28DLTP%29.pdf |
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| author | Parveen, Sajida Syed Ahmad Abdul Rahman, Sharifah Mumtazah Hasan Abbas, Nidaa Wan Adnan, Wan Azizun Hanafi, Marsyita Naeem, Nadeem |
| author_facet | Parveen, Sajida Syed Ahmad Abdul Rahman, Sharifah Mumtazah Hasan Abbas, Nidaa Wan Adnan, Wan Azizun Hanafi, Marsyita Naeem, Nadeem |
| author_sort | Parveen, Sajida |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T10:39:01Z |
| format | Article |
| id | upm-54262 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:39:01Z |
| publishDate | 2016 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-542622018-03-09T02:51:14Z http://psasir.upm.edu.my/id/eprint/54262/ Face liveness detection using Dynamic Local Ternary Pattern (DLTP) Parveen, Sajida Syed Ahmad Abdul Rahman, Sharifah Mumtazah Hasan Abbas, Nidaa Wan Adnan, Wan Azizun Hanafi, Marsyita Naeem, Nadeem 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. MDPI 2016 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/54262/1/Face%20liveness%20detection%20using%20Dynamic%20Local%20Ternary%20Pattern%20%28DLTP%29.pdf Parveen, Sajida and Syed Ahmad Abdul Rahman, Sharifah Mumtazah and Hasan Abbas, Nidaa and Wan Adnan, Wan Azizun and Hanafi, Marsyita and Naeem, Nadeem (2016) Face liveness detection using Dynamic Local Ternary Pattern (DLTP). Computers, 5 (2). pp. 1-15. ISSN 2073-431X http://www.mdpi.com/2073-431X/5/2/10 Face liveness detection; Dynamic local ternary pattern (DLTP); Skin texture analysis 10.3390/computers5020010 |
| spellingShingle | Face liveness detection; Dynamic local ternary pattern (DLTP); Skin texture analysis Parveen, Sajida Syed Ahmad Abdul Rahman, Sharifah Mumtazah Hasan Abbas, Nidaa Wan Adnan, Wan Azizun Hanafi, Marsyita Naeem, Nadeem Face liveness detection using Dynamic Local Ternary Pattern (DLTP) |
| title | Face liveness detection using Dynamic Local Ternary Pattern (DLTP) |
| title_full | Face liveness detection using Dynamic Local Ternary Pattern (DLTP) |
| title_fullStr | Face liveness detection using Dynamic Local Ternary Pattern (DLTP) |
| title_full_unstemmed | Face liveness detection using Dynamic Local Ternary Pattern (DLTP) |
| title_short | Face liveness detection using Dynamic Local Ternary Pattern (DLTP) |
| title_sort | face liveness detection using dynamic local ternary pattern (dltp) |
| topic | Face liveness detection; Dynamic local ternary pattern (DLTP); Skin texture analysis |
| url | http://psasir.upm.edu.my/id/eprint/54262/ http://psasir.upm.edu.my/id/eprint/54262/ http://psasir.upm.edu.my/id/eprint/54262/ http://psasir.upm.edu.my/id/eprint/54262/1/Face%20liveness%20detection%20using%20Dynamic%20Local%20Ternary%20Pattern%20%28DLTP%29.pdf |