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19 pages, 6586 KB

Open AccessArticle

Weber Texture Local Descriptor for Identification of Group-Housed Pigs

by Weijia Huang, Weixing Zhu, Changhua Ma and Yizheng Guo

Sensors 2020, 20(16), 4649; https://doi.org/10.3390/s20164649 - 18 Aug 2020

Cited by 8 | Viewed by 3737

The individual identification of group-housed pigs plays an important role in breeding process management and individual behavior analysis. Recently, livestock identification methods based on the side view or face image have strict requirements on the position and posture of livestock, which poses a challenge for the application of the monitoring scene of group-housed pigs. To address the issue above, a Weber texture local descriptor (WTLD) is proposed for the identification of group-housed pigs by extracting the local features of back hair, skin texture, spots, and so on. By calculating the differential excitation and multi-directional information of pixels, the local structure features of the main direction are fused to enhance the description ability of features. The experimental results show that the proposed WTLD achieves higher recognition rates with a lower feature dimension. This method can identify pig individuals with different positions and postures in the pig house. Without limitations on pig movement, this method can facilitate the identification of individual pigs with greater convenience and universality. Full article

(This article belongs to the Section Sensing and Imaging)

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15 pages, 2182 KB

Open AccessArticle

Face Liveness Detection Using Dynamic Local Ternary Pattern (DLTP)

by Sajida Parveen, Sharifah Mumtazah Syed Ahmad, Nidaa Hasan Abbas, Wan Azizun Wan Adnan, Marsyita Hanafi and Nadeem Naeem

Computers 2016, 5(2), 10; https://doi.org/10.3390/computers5020010 - 24 May 2016

Cited by 43 | Viewed by 14022

Abstract

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. Full article

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