A contactless biometric system using multiple hand features

Palm Vein Database and Experimental Framework for Reproducible Research

“…On the other hand, the PUT database [KK11] is a small database comprises of 50 subjects acquired on a contact sensor using just one wavelength of 880 nm for illumination. It is also important to highlight other database collections mentioned in the literature that are not publicly available such as [MCT12,Lee12]. In this context, researchers working on palm vein recognition built their own acquisition devices to acquire vein pattern images.…”

“…Among the various human hand biometric characteristics that can be used to recognize a person, such as geometry, fingerprint, palm print or knuckle print, the palm veins are perhaps the most successful form with highest recognition rates achieved between the different characteristics [MCT12] as palm vein patterns are considered stable and reliable. This means that once a person has reached adulthood, the hand structure, veins and configuration remain relatively stable throughout the person's life [YDS06].…”

On the vulnerability of palm vein recognition to spoofing attacks

“…Between the various human hand biometric characteristics that can be used to recognize a person, such as geometry, fingerprint, palm print or knuckle print, the palm veins are perhaps the most successful form with highest recognition rates achieved between these different characteristics [4]. The palm vein patterns are considered stable and reliable, which means that once a person has reached adulthood, the hand structure, veins and configuration remain relatively stable throughout the person's life [11].…”

Combination a Skeleton Filter and Reduction Dimension of Kernel PCA Based on Palmprint Recognition

“…The filter function, among others, is to get the sharpness of the image [1] and also to access feature information more effectively [2]. Some researchers have used the filter method in the field are the Laplacian, the Gaussian, and the unsharp masking [3].…”