Gender Classification by Fuzzy Inference System : Classificazione di genere mediante un sistema di inferenza fuzzy, in: International Journal of Advanced Robotic Systems

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Autor	Moallem, Payman; Mousavi, B. Somayeh
Erschienen	InTech Open Access Publisher, 2013
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Kurzbeschreibung	Gender classification from face images has many applications and is thus an important research topic. This paper presents an approach to gender classification based on shape and texture information gathered to design a fuzzy decision making system. Beside face shape features, Zernik moments are applied as system inputs to improve the system output which is considered as the probability of being male face image. After parameters tuning of the proposed fuzzy decision making system, 85.05% classification rate on the FERET face database (including 1199 individuals from different poses and facial expressions) shows acceptable results compare to other methods.

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		ab 2000

Übergeordnete Werke

International Journal of Advanced Robotic Systems
Autor: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Erschienen: 2004

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International Journal of Advanced Robotic Systems

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DMG-Lib		https://www.dmg-lib.org/dmglib/handler?docum=32399009
Europeana		http://www.europeana.eu/portal/record/2020801/dmglib_handler_docum_32399009.html
PDF		Gender Classification by Fuzzy Inference System

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Univ. Cassino

http://webuser.unicas.it/weblarm/larmindex.htm

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Publikationsdatum		2013
Lizenzinformation		This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License

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Gender Classification by Fuzzy Inference System : Classificazione di genere mediante un sistema di inferenza fuzzy, in: International Journal of Advanced Robotic Systems

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