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Munir Ahmad, Sagheer Abbas, Areej Fatima, Ghassan F. Issa, Taher M. Ghazal and Muhammad Adnan Khan
The importance of accurate livestock identification for the success of modern livestock industries cannot be overstated as it is essential for a variety of purposes, including the traceability of animals for food safety, disease control, the prevention o...
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Elham Azizi and Loutfouz Zaman
According to the American Humane Association, millions of cats and dogs are lost yearly. Only a few thousand of them are found and returned home. In this work, we use deep learning to help expedite the procedure of finding lost cats and dogs, for which a...
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Tjokorda Agung Budi Wirayuda, Rinaldi Munir and Achmad Imam Kistijantoro
In computer vision, ethnicity classification tasks utilize images containing human faces to extract ethnicity labels. Ethnicity is one of the soft biometric feature categories useful in data analysis for commercial, public, and health sectors. Ethnicity ...
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Smita Khairnar, Shilpa Gite, Ketan Kotecha and Sudeep D. Thepade
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though face recognition is one of the most promising biometrics techniques, it is vulnerable to spoofing threats. Many researchers focus on face liveness detection to pr...
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Juan Carlos Atenco, Juan Carlos Moreno and Juan Manuel Ramirez
In this work we present a bimodal multitask network for audiovisual biometric recognition. The proposed network performs the fusion of features extracted from face and speech data through a weighted sum to jointly optimize the contribution of each modali...
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David Belcar, Petra Grd and Igor Tomicic
In the field of face biometrics, finding the identity of a person in an image is most researched, but there are other, soft biometric information that are equally as important, such as age, gender, ethnicity or emotion. Nowadays, ethnicity classification...
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E.E. Istratova,D.A. Pustovskih
Pág. 66 - 74
To increase the reliability and efficiency of work in most information systems, biometric identification technologies are used, where the image of a person's face is used as an object of study. The aim of the study was to develop a biometric data validat...
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Regina Lionnie, Catur Apriono and Dadang Gunawan
This work aimed to find the most discriminative facial regions between the eyes and eyebrows for periocular biometric features in a partial face recognition system. We propose multiscale analysis methods combined with curvature-based methods. The goal of...
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Xiang Chen, Shouzhi Xu, Kai Ma and Peng Chen
A consortium system can leverage information to improve workflows, accountability, and transparency through setting up a backbone for these cross-company and cross-discipline solutions, which make it become a hot spot of market application. Users of a co...
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Ardak Nurpeisova, Anargul Shaushenova, Zhazira Mutalova, Zhandos Zulpykhar, Maral Ongarbayeva, Shakizada Niyazbekova, Alexander Semenov and Leila Maisigova
The article analyzes the possibility and rationality of using proctoring technology in remote monitoring of the progress of university students as a tool for identifying a student. Proctoring technology includes face recognition technology. Face recognit...
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