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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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Abdulwahid Al Abdulwahid
Ethnic conflicts frequently lead to violations of human rights, such as genocide and crimes against humanity, as well as economic collapse, governmental failure, environmental problems, and massive influxes of refugees. Many innocent people suffer as a r...
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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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Ahmed Jawad A. AlBdairi, Zhu Xiao, Ahmed Alkhayyat, Amjad J. Humaidi, Mohammed A. Fadhel, Bahaa Hussein Taher, Laith Alzubaidi, José Santamaría and Omran Al-Shamma
In the last decade, there has been a surge of interest in addressing complex Computer Vision (CV) problems in the field of face recognition (FR). In particular, one of the most difficult ones is based on the accurate determination of the ethnicity of man...
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Joomi Jun and Takayuki Mizuno
The development of transportation and technology has spread human movements more quickly and widely. As a result, our societies are becoming more complex, composed of people of more diverse races, cultures, religions, and languages. In this study, we foc...
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Eszter Anna Janka, Ferenc Vincze, Róza Ádány and János Sándor
The Roma population is typified by a poor and, due to difficulties in ethnicity assessment, poorly documented health status. We aimed to compare the usefulness of self-reporting and observer-reporting in Roma classification for surveys investigating diff...
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