Human identification with finger vien image using deep learning
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Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The technical term for body measurements and
estimates is called biometrics. It refers to metrics related to
human characteristics. Biometrics classification is using in
computer science as a form of identification and access control.
Classification is one of the pattern recognition methods that
consist of grouping similar data into classes. Automated
personal identification using vascular biometrics. The
Convolutional Neural Network (CNN) has demonstrated its
remarkable ability to learn biometric traits that can provide a
robust and accurate match. This thesis aims to develop a robust
finger-vein identification system using CNN. Since finger vein
lies under the human body, so they need Near Infrared (NIR)
light and camera for acquiring, the finger-vein require spectrum
light with the camera to capture. The capture images need to
pass through several stages, including reprocessing, pattern
extraction, and matching, to decide to get an individual ID. This
research proposes an efficient deep learning model to build a
robust finger vein identification system. After images preprocessing and vein pattern extraction, feature extraction and
matching are performed by the proposed CNN model, which has
one input layer and more than one hidden layer and one output
layer. The first hidden layer is known as the convolution layer
its plays the role of feature extraction and produces features
map, followed by the pooling layer, which acts as a filter to
remove unwilling features, and batch Normalization layer to
speed up the training process. The system presented 99.78 %
accuracy which is remarkable when compared with several
researches.
Açıklama
Anahtar Kelimeler
CNN, KNN, SVM, NN, Vein Recognition
Kaynak
IEEE
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Jasim, Z. K. J., Mohammed, A. H., Elwiya, L., Al-Jabbari, B. D., & Alhaji, H. (2021, October). Human Identification with Finger Vien Image Using Deep Learning. In 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 672-677). IEEE.
