The Face Recognition Method Based on CS-LBP and DBN
المؤلفون المشاركون
Sun, Kun
Yin, Xin
Yang, Mingxin
Wang, Yang
Fan, Jianying
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-10-30
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
At present, the face recognition method based on deep belief network (DBN) has advantages of automatically learning the abstract information of face images and being affected slightly by active factors, so it becomes the main method in the face recognition area.
Because DBN ignores the local information of face images, the face recognition rate based on DBN is badly affected.
To solve this problem, a face recognition method based on center-symmetric local binary pattern (CS-LBP) and DBN (FRMCD) is proposed in this paper.
Firstly, the face image is divided into several subblocks.
Secondly, CS-LBP is used to extract texture features of each image subblock.
Thirdly, texture feature histograms are formed and input into the DBN visual layer.
Finally, face classification and face recognition are completed through deep learning in DBN.
Through the experiments on face databases ORL, Extend Yale B, and CMU-PIE by the proposed method (FRMCD), the best partitioning way of the face image and the hidden unit number of the DBN hidden layer are obtained.
Then, comparative experiments between the FRMCD and traditional methods are performed.
The results show that the recognition rate of FRMCD is superior to those of traditional methods; the highest recognition rate is up to 98.82%.
When the number of training samples is less, the FRMCD has more significant advantages.
Compared with the method based on local binary pattern (LBP) and DBN, the time-consuming of FRMCD is shorter.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sun, Kun& Yin, Xin& Yang, Mingxin& Wang, Yang& Fan, Jianying. 2018. The Face Recognition Method Based on CS-LBP and DBN. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1206934
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sun, Kun…[et al.]. The Face Recognition Method Based on CS-LBP and DBN. Mathematical Problems in Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1206934
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sun, Kun& Yin, Xin& Yang, Mingxin& Wang, Yang& Fan, Jianying. The Face Recognition Method Based on CS-LBP and DBN. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1206934
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1206934
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر