New methods and databases for hand biometrics

العناوين الأخرى

طرق و قواعد بيانات جديدة لتمييز الأشخاص اعتمادا على خصائص اليد البشرية

مقدم أطروحة جامعية

al-Butush, Iman Salamah Salim

مشرف أطروحة جامعية

al-Hasanat, Ahmad Bashir

أعضاء اللجنة

al-Mahadin, Bassam Muhammad Salim
al-Abbadi, Muhammad Ali Husayn
al-Kasasibah, Malik Zakariyya

الجامعة

جامعة مؤتة

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2016

الملخص الإنجليزي

A biometric identification/verification system verifies user identities by comparing some sort of behavioral or physiological trait of the user to a stored sample in database.

Several states of the art were reviewed and the most commonly used geometrical features were identified.

This thesis introduces new hand images databases with total 6500 hand images.

The first one is created by using a mobile phone camera of modest quality, and called mobile hand images database (MOHI), the second one created by using a webcam with low quality images, and called webcam hand images database (WEHI).

The last one, called victory sign hand images database (VSHI).

This database contain the victory signs of 50 different persons captured using a mobile phone camera.

The major goal, of those databases, is to build upon person’s identification/verification using hand biometrics.

Hand shape biometric system consists of a sequence of several major steps, including: Image Acquisition, Hand Segmentation, Feature Extraction, Training/Testing and storing the hand templates for identification.

Image acquisition is done by creating the databases.

Segmentation process includes investigating different methods such as Otsu's method, the k-means clustering based on the color information (RGB color model), and hand segmentation based on color information using Artificial Neural Network (ANN).

Chain Code was used to extract 20 hand features from MOHI and WEHI, with accuracy greater than 85%.

Moreover; this thesis introduces a new approach for identifying persons (e.g.

terrorist) from their geometric features of victory sign alone, as this sign might be the only information available about such persons.

For this purpose, VSHI database created and investigated some simple approaches to identify persons from those images.

The results of this database were encouraging for most of the recorded persons; with accuracy range from 40% to 93%, depending on the features, distance metric and the constant K used.

Finally analytical and comparative study in segmentation and feature extraction introduced over those databases

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

62

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-731647