Recently, biometric based personal identification is emerging as a powerful means for automatically recognizing a person’s identity with a higher confidence. It concerns with identifying people by their physiological characteristics such as fingerprint, iris, retina, palm print, hand geometry and face or some behavioral aspects such as voice, signature and gesture.Currently, hand-based biometric technologies such as fingerprint verification and hand geometry verification most appeal to the biometric identification market. Automatic fingerprint verification is the most mature biometric technology, having been studied for more than 25 years. Currently, fingerprint authentication handles clear fingerprints very well but, because of skin problems or the nature of their work, around 2 % of the population are unable to provide clear fingerprint images Another popular, hand-based biometric technology is hand geometry. Hand geometry uses geometric information from our hands for personal verification. Simple hand features, however, provide limited information, with the result that hand geometry is not highly accurate. To overcome problems in the hand-based biometric technologies, another hand-based biometric for use in personal identification/verification, the palmprint.The palmprint, the large inner surface of a hand,contains many line features such as principal lines, wrinkles, and ridges. Because of the large surface and the abundance of line features, we expect palm prints to be robust to noise and to be highly individual.
[1]
Hui Yan,et al.
A Novel Bimodal Identification Approach Based on Hand-Print
,
2008,
2008 Congress on Image and Signal Processing.
[2]
Fan Yang,et al.
A New Mixed-Mode Biometrics Information Fusion Based-on Fingerprint, Hand-geometry and Palm-print
,
2007,
Fourth International Conference on Image and Graphics (ICIG 2007).
[3]
Thumrongrat Amornraksa,et al.
Fingerprint recognition using DCT features
,
2006
.
[4]
David Zhang,et al.
Online Palmprint Identification
,
2003,
IEEE Trans. Pattern Anal. Mach. Intell..
[5]
Anil K. Jain.
Fundamentals of Digital Image Processing
,
2018,
Control of Color Imaging Systems.
[6]
G. Sainarayanan,et al.
Palmprint identification using wavelet energy
,
2007,
2007 International Conference on Intelligent and Advanced Systems.
[7]
David Zhang,et al.
Palmprint Identification by Fourier Transform
,
2002,
Int. J. Pattern Recognit. Artif. Intell..
[8]
David Zhang,et al.
A face and palmprint recognition approach based on discriminant DCT feature extraction
,
2004,
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[9]
Sharath Pankanti,et al.
Biometrics: Personal Identification in Networked Society
,
2013
.