Enhancing Accuracy in a Touch Operation Biometric System: A Case on the Android Pattern Lock Scheme
المؤلفون المشاركون
Ng’ang’a, Allan
Musuva, Paula M. W.
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-10
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The main objective of this research study is to enhance the functionality of an Android pattern lock application by determining whether the time elements of a touch operation, in particular time on dot (TOD) and time between dot (TBD), can be accurately used as a biometric identifier.
The three hypotheses that were tested through this study were the following–H1: there is a correlation between the number of touch stroke features used and the accuracy of the touch operation biometric system; H2: there is a correlation between pattern complexity and accuracy of the touch operation biometric system; H3: there is a correlation between user training and accuracy of the touch operation biometric system.
Convenience sampling and a within-subjects design involving repeated measures were incorporated when testing an overall sample size of 12 subjects drawn from a university population who gave a total of 2,096 feature extracted data.
Analysis was done using the Dynamic Time Warping (DTW) Algorithm.
Through this study, it was shown that the extraction of one-touch stroke biometric feature coupled with user training was able to yield high average accuracy levels of up to 82%.
This helps build a case for the introduction of biometrics into smart devices with average processing capabilities as they would be able to handle a biometric system without it compromising on the overall system performance.
For future work, it is recommended that more work be done by applying other classification algorithms to the existing data set and comparing their results with those obtained with DTW.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ng’ang’a, Allan& Musuva, Paula M. W.. 2020. Enhancing Accuracy in a Touch Operation Biometric System: A Case on the Android Pattern Lock Scheme. Mobile Information Systems،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1192377
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ng’ang’a, Allan& Musuva, Paula M. W.. Enhancing Accuracy in a Touch Operation Biometric System: A Case on the Android Pattern Lock Scheme. Mobile Information Systems No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1192377
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ng’ang’a, Allan& Musuva, Paula M. W.. Enhancing Accuracy in a Touch Operation Biometric System: A Case on the Android Pattern Lock Scheme. Mobile Information Systems. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1192377
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1192377
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