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A Real-Time Angle- and Illumination-Aware Face Recognition System Based on Artificial Neural Network
المؤلفون المشاركون
Chakraborty, Goutam
Kato, Hisateru
Chakraborty, Basabi
المصدر
Applied Computational Intelligence and Soft Computing
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-08-16
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Automatic authentication systems, using biometric technology, are becoming increasingly important with the increased need for person verification in our daily life.
A few years back, fingerprint verification was done only in criminal investigations.
Now fingerprints and face images are widely used in bank tellers, airports, and building entrances.
Face images are easy to obtain, but successful recognition depends on proper orientation and illumination of the image, compared to the one taken at registration time.
Facial features heavily change with illumination and orientation angle, leading to increased false rejection as well as false acceptance.
Registering face images for all possible angles and illumination is impossible.
In this work, we proposed a memory efficient way to register (store) multiple angle and changing illumination face image data, and a computationally efficient authentication technique, using multilayer perceptron (MLP).
Though MLP is trained using a few registered images with different orientation, due to generalization property of MLP, interpolation of features for intermediate orientation angles was possible.
The algorithm is further extended to include illumination robust authentication system.
Results of extensive experiments verify the effectiveness of the proposed algorithm.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kato, Hisateru& Chakraborty, Goutam& Chakraborty, Basabi. 2012. A Real-Time Angle- and Illumination-Aware Face Recognition System Based on Artificial Neural Network. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-459473
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kato, Hisateru…[et al.]. A Real-Time Angle- and Illumination-Aware Face Recognition System Based on Artificial Neural Network. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-459473
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kato, Hisateru& Chakraborty, Goutam& Chakraborty, Basabi. A Real-Time Angle- and Illumination-Aware Face Recognition System Based on Artificial Neural Network. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-459473
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-459473
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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