Research and Development of Palmprint Authentication System Based on Android Smartphones
المؤلفون المشاركون
Song, Guokun
Zhang, Xinman
Jing, Kunlei
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-16
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
The security problems of online transactions by smartphones reveal extreme demand for reliable identity authentication systems.
With a lower risk of forgery, richer texture, and more comfortable acquisition mode, compared with face, fingerprint, and iris, palmprint is rarely adopted for identity authentication.
In this paper, we develop an effective and full-function palmprint authentication system regarding the application on an Android smartphone, which bridges the algorithmic study and application of palmprint authentication.
In more detail, an overall system framework is designed with complete functions, including palmprint acquisition, key points location, ROI segmentation, feature extraction, and feature coding.
Basically, we develop a palmprint authentication system having user-friendly interfaces and good compatibility with the Android smartphone.
Particularly, on the one hand, to guarantee the effectiveness and efficiency of the system, we exploit the practical Log-Gabor filter for feature extraction and discuss the impact of filtering direction, downsampling ratio, and discriminative feature coding to propose an improved algorithm.
On the other hand, after exploring the hardware components of the smartphone and the technical development of the Android system, we provide an open technology to extend the biometric methods to real-world applications.
On the public PolyU databases, simulation results suggest that the improved algorithm outperforms the original one with a promising accuracy of 100% and a good speed of 0.041 seconds.
In real-world authentication, the developed system achieves an accuracy of 98.40% and a speed of 0.051 seconds.
All the results verify the accuracy and timeliness of the developed system.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Xinman& Jing, Kunlei& Song, Guokun. 2020. Research and Development of Palmprint Authentication System Based on Android Smartphones. Mobile Information Systems،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1192531
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Xinman…[et al.]. Research and Development of Palmprint Authentication System Based on Android Smartphones. Mobile Information Systems No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1192531
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Xinman& Jing, Kunlei& Song, Guokun. Research and Development of Palmprint Authentication System Based on Android Smartphones. Mobile Information Systems. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1192531
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1192531
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