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A low complexity face recognition scheme based on down sampled local binary patterns
المؤلفون المشاركون
Benitez Garcia, Gibran
Nakano Miyatake, Mariko
Olivares Mercado, Jesus
Perez Meana, Hector
Sanchez Perez, Gabriel
Toscano Medina, Karina
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 16، العدد 3 (31 مايو/أيار 2019)11ص.
الناشر
تاريخ النشر
2019-05-31
دولة النشر
الأردن
عدد الصفحات
11
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
The accurate description of face images under variable illumination, pose and face expression conditions is a topic that has attracted the attention of researchers in recent years, resulting in the proposal of several efficient algorithms.
Among these algorithms, Local Binary Pattern (LBP)-based schemes appear to be promising approaches, although the computational complexity of LPB-based approaches may limit their implementation in devices with limited computational power.
Hence, this paper presents a face recognition algorithm, based on the LBP feature extraction method, with a lower computational complexity than the conventional LBP-based scheme and similar recognition performance.
The proposed scheme, called Decimated Image Window Binary Pattern (DI-WBP), firstly, the face image is downsampled and then the LBP is applied to characterize the size reduced image using non overlaping blocks of 3x3 pixels.
The DI-WBP does not require any dimensionality reduction scheme because the size of the resulting feature matrix is much smaller than the original image size.
Finally, the resulting feature vectors are applied to a given classification method to perform the recognition task.
Evaluation results using the AR and Yale face databases demonstrate that the proposed scheme provides a recognition performance similar to those provided by the conventional LBP-based scheme and other recently proposed approaches, with lower computational complexity.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Benitez Garcia, Gibran& Nakano Miyatake, Mariko& Olivares Mercado, Jesus& Perez Meana, Hector& Sanchez Perez, Gabriel& Toscano Medina, Karina. 2019. A low complexity face recognition scheme based on down sampled local binary patterns. The International Arab Journal of Information Technology،Vol. 16, no. 3.
https://search.emarefa.net/detail/BIM-854900
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Benitez Garcia, Gibran…[et al.]. A low complexity face recognition scheme based on down sampled local binary patterns. The International Arab Journal of Information Technology Vol. 16, no. 3 (May. 2019).
https://search.emarefa.net/detail/BIM-854900
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Benitez Garcia, Gibran& Nakano Miyatake, Mariko& Olivares Mercado, Jesus& Perez Meana, Hector& Sanchez Perez, Gabriel& Toscano Medina, Karina. A low complexity face recognition scheme based on down sampled local binary patterns. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 3.
https://search.emarefa.net/detail/BIM-854900
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-854900
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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