FYO: A Novel Multimodal Vein Database With Palmar, Dorsal and Wrist Biometrics

Abstract

Multimodal biometric systems are preferred as a defense compared to unimodal systems. This study introduces an open access multimodal vein database named FYO with each letter dedicated to each author's name. The database involves three biometric traits; palm vein, dorsal vein and wrist vein of the same individuals, to explore and enhance research in the area of using these traits to create a spoof-proof multimodal authentication system. The vein images of FYO are acquired using medical vein finder in a controlled environment. Comparisons are performed to show the differences with the existing well known databases and the state-of-the-art recognition algorithms. Hand-crafted feature extractors such as Binarized Statistical Image Features (BSIF), Gabor filter and Histogram of Oriented Gradients (HOG) are applied to show the viability of the vein datasets. Additionally, a deep learning based Convolutional Neural Networks (CNN) architecture is proposed with two models using decision-level fusion of palmar, dorsal and wrist biometric traits on vein images. Unimodal systems, multimodal systems and the proposed architecture are tested on several vein datasets including palmar, dorsal and wrist vein images. Experimental results based on accuracy and computation time on our FYO datasets showed competitive output with that of other databases such as Tongji Contactless Palm Vein database, VERA, PUT, Badawi and Bosphorus hand vein databases. Moreover, the proposed CNN architecture on three vein biometric traits show superior performance compared to hand-crafted methods. INDEX TERMS Data fusion, deep learning, hand-crafted features, vein recognition, multimodal biometrics.

Human Identity Verification From Biometric Dorsal Hand Vein Images Using the DL-GAN Method

“…There are many different methods and databases. Some of these are; Palmvein [110][111][112], putvein [113], dorsal hand-vein [114][115], multispectral palmprint [116][117], hand [118] and contactlesspalm [119] datasets and there are also new applications [120][121].…”

Deep Learning for Vein Biometric Recognition on a Smartphone

“…It is worth noting that PUT [9] and FYO [24] (FYOWV part), as far as is known, are the only existing public datasets: Singapore [25] and UC3M [26], collected respectively in 2007 and 2011, are privately-distributed and [27], UC3M-CV1 [4] and UC3M-CV2 [7] are, at this time, private datasets.…”

Palm Vein Recognition Based on NPE and KELM

“…Some samples are shown in Figure 5. The algorithm was also tested on FYO palmar (FYO) database [18]and TongJi palmvein databse(TJD) [19]. FYO palmar database is a very challenging database, with only two images per hand, taken in two periods, one for testing and one for training.…”

“…The texture feature-based method [9][10][11][12][13][14] is to use the rich texture features of palm veins to extract features such as direction, amplitude, phase, and gray level for encoding. The depth learning-based method [15][16][17][18][19][20] mainly uses existing deep learning networks for vein recognition.…”