Hand palmprint authentication system

العناوين الأخرى

نظام التحقق من هوية الشخص باستخدام راحة اليد

مقدم أطروحة جامعية

al-Turayhi, Maha Muhammad Ali Sharif

مشرف أطروحة جامعية

Jurj, Luayy Adwar

أعضاء اللجنة

Hamad, Makkiyah K.
Khalid, Lamya Hafiz

الجامعة

جامعة بغداد

الكلية

كلية العلوم

القسم الأكاديمي

قسم علوم الحاسبات

دولة الجامعة

العراق

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2004

الملخص الإنجليزي

Biometrics is defined as measurable physiological and/or behavioral characteristics to verify the identity of an individual. It is the technology using image processing and pattern recognition in the security field.

Recently biometric technologies are rapidly evolving and becoming security options to verify the true identity of an individual in the wide areas of businesses and organizations. The process of identifying an individual usually based on a username and password.

In security systems, authentication is distinct from authorization, which is the process of giving individuals access to system objects based on their identity. Authentication merely ensures that the individual is who he or she claims to be, but says nothing about the access rights of the individual. Palmprint authentication is one of the relatively new physiological biometric technologies which exploit the unique features on the human palmprint, namely principal lines, wrinkles, ridges.

The rich texture information of palmprint offers the effective means in person authentication due to its non-intrusive, user friendly, stable, low-resolution imaging and low cost requirements. In the palmprint acquisition stage, users placed their palms on the platform of the scanner rather than of using a chargecoupled device (CCD).

Therefore, palmprint images captured in the image acquisition stage may have variable size and orientation and also subject to noise.

Moreover, the non-interesting regions (e.g.

fingers, wrist, image background, etc) may affect the accurate processing and degrade the verification performance.

Therefore, image preprocessing is a crucial and necessary part before feature extraction. This research work introduces an experimental evaluation of the effectiveness of utilizing Moment invariant and Complex moment in the application of palmprint verification. The work was performed on database (including 25 images for 5 persons).

Experimental results indicated that the performance of the system depends on the moment type.

The non centralized moment invariant has the best performance among the other moments.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

109

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-604748