Enhanced block filter thinning algorithm

العناوين الأخرى

تحسين خوارزمية ال (BFT)‎

مقدم أطروحة جامعية

al-Tarawinah, Aishah Zal Ahmad

مشرف أطروحة جامعية

al-Abbadi, Muhammad

الجامعة

جامعة مؤتة

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2016

الملخص الإنجليزي

Biometrics is an evolving technology in the society of today.

Fingerprint recognition technology is among the extensively utilized biometrics systems globally.

Thinning is a concept that is quite fundamental in the prior phases of automatically recognizing fingerprints.

Minutiae extraction performance is dependent substantially on the skeleton quality used in the identification process.

An exceptionally efficient algorithm for fingerprint thinning can enhance minutiae extraction and alleviate image noises therefore facilitating in enhancing system performance.

This dissertation involves research in EBFT (Enhance Block Filter Thinning) fingerprint matching scores.

A comparison on performance levels of three distinct thinning algorithms is made.

These are: CLT (Central line thinning), EBFT and BFT (Block Filter Thinning).

The system essentially examines all the existing possible dataset alignments and produces matching scores on the most distinct alignment.

The comparison of Algorithms is based on false match and the false non matching scores as well as the time that has elapsed in relation to each of the existing algorithms.

In the final stage a succession of matching trials is used to compare performance of the three previously highlighted algorithms i.e.

CLT, EBFT and BFT.

The results obtained indicate that EBFT thinning formula yields enhanced false match and false non matching rates compared to the rates obtained from BFT algorithm thinning.

BFT algorithms take the least time to process while CLT algorithms yield the most accurate false matching and false non matching rates although it takes a substantial amount of time.

CLT is a better method compared to the methods that this literature will examine.

The experiments performed in this research utilize synthetic fingerprint generator or SFingGe software.

This method is devoid of noise produced by the sensor.

In total and for the purpose of the database creation of 60 base images took place.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

122

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-749298