Online mobile-based system for signature verification
العناوين الأخرى
نظام التحقق من التواقيع باستخدام الهواتف الذكية
مقدم أطروحة جامعية
مشرف أطروحة جامعية
al-Tarawinah, Raghad Muhammad
al-Abbadi, Muhammad
الجامعة
جامعة مؤتة
الكلية
كلية تكنولوجيا المعلومات
القسم الأكاديمي
قسم الحاسوب
دولة الجامعة
الأردن
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2017
الملخص الإنجليزي
In this thesis we investigated the possibility of verifying user’s signatures using gesture-based features on smartphones.
Three shapes were used to implement a primary seed to signature verification system; lines, triangles, and circles.
These shapes were analysed to extract the feature that we used it in our study.
The features extracted were X-Y coordinates, finger’s pressure, and the number of stored points that reflects the speed of drawing.
These four features are common for the three shapes; also many other features are derived from these common features, such as: length of line, direction of motion, and the longest straight line between the point of origin and any point on the circumference of a circle or a triangle and its direction.
Decision Tree algorithm was use as a classifier with three scenarios of threshold calculations.
The classification phase came at two stages: first one is for each shape separately and the second is to take the shapes classification results then make a decision.
The main aim of this thesis is to get a good balancing between False Acceptance Rate (FAR) and True Rejection Rate (TRR) ratios and between precision and sensitivity of the system.
This leads us to get a good accuracy for the system.
The 22 participants involvedin this research included 20genuine users and 2 foreign users.The 20 genuine users also included 9 females and 11 males and they have ages between ten and seventy years.
The results showed a good accuracy and balancing between FAR and TAR ratios.
Also, higher classification accuracy was achieved when combining the three shapes’ gesture features as opposed to using a single shape gesture feature.
The results also showed that the average of finger pressure of females is less than males’ one.
Keywords: Signature verification, touch-screen, gesture-based, accuracy
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
عدد الصفحات
66
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Proposed methodology.
Chapter Four : Evaluation study.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Tarawinah, Islam Hasan. (2017). Online mobile-based system for signature verification. (Master's theses Theses and Dissertations Master). Mutah University, Jordan
https://search.emarefa.net/detail/BIM-749304
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Tarawinah, Islam Hasan. Online mobile-based system for signature verification. (Master's theses Theses and Dissertations Master). Mutah University. (2017).
https://search.emarefa.net/detail/BIM-749304
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Tarawinah, Islam Hasan. (2017). Online mobile-based system for signature verification. (Master's theses Theses and Dissertations Master). Mutah University, Jordan
https://search.emarefa.net/detail/BIM-749304
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-749304
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