عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
TL58127
انگلیسی
Parmak izi analizinde derin öğrenme
[Thesis]
İrtem, Pelin
Erdoğmuş, Nesli
Izmir Institute of Technology (Turkey)
2020
62 p.
Master's
Izmir Institute of Technology (Turkey)
2020
Fingerprints are one of the most widely used personal identification traits. They play a crucial role in forensics because they are considered to be unique to each person. For many years, the identification of individuals had been carried out by human operators. However, with technological developments, automated fingerprint recognition systems have arisen, and the growth in the population has increased the importance of their robustness. On the other hand, deep learning has led to many impressive developments in the area of computer vision. Fingerprint analysis is indeed in the scope of image processing and computer vision; however, the usage of deep learning in fingerprint analysis is rather limited. This study focuses on using deep learning techniques on two different stages of the automated fingerprint recognition pipeline: Fingerprint classification and fingerprint minutiae extraction. Deep learning systems are developed for those two selected stages and analysed with respect to several aspects such as dataset size and different network architectures.
Automation
Biometrics
Computer engineering
Deep learning
Fingerprinting
Identification systems
Machine learning
Neural networks
Pattern recognition
İrtem, Pelin
Erdoğmuş, Nesli
Izmir Institute of Technology (Turkey)
مطالعه متن کتاب p
[Thesis]
276903
a
Y
