This paper proposes a novel and successful method for recognizing palmprint based on radial basis probabilistic neural network (RBPNN) proposed by us. The RBPNN is trained by the orthogonal least square (OLS) algorithm and its structure is optimized by the recursive OLS algorithm (ROLSA). The Hong Kong Polytechnic University (PolyU) palmprint database, which is pre-processed by a fast fixed-poi...

The palmprint is physiological biometric widely used for identification of individuals. Multispectral palmprint systems are good solution because it can provides more discriminative information for person identification. Multispectral palmprint identification systems for large database and used for protecting palmprint system and users privacy. This paper reviews to the palmprint identification...

Palmprint recognition has been widely applied to security authentication due its rich characteristics, i.e., local direction, wrinkle, and texture. However, different types of palmprint images captured from application scenarios usually contain a variety dominant features. Specifically, the performance will be degraded by interference factors, noise, rotations, shadows, while are acquired in op...

This Palm print recognition implements many of matching characteristics as of finger print recognition and both biometrics are represented by the information present on the friction ridge impression. Palm prints differ from finger prints in a way since they contain many features and they have more discriminative regions than fingerprints. Because palm prints are both unique and permanent, they ...

In some fields like forensic research, experts demand that a found sample of an individual can be matched with its full counterpart contained in a database. The found sample may present several characteristics that make this matching more difficult to perform, such as distortion and, most importantly, a very small size. Several solutions have been presented intending to solve this problem, howe...

Biometric system uses technology of pattern recognition which makes identification by determining the authenticity of specific behavioral or physiological characteristics possessed by an individual. Human palm is used as biometric measure to identify an individual because of its unique, stable, discrete and multiple features such as principal lines, wrinkles, ridges, minutiae. The principal lin...

Palmprint recognition has emerged as a valid biometric based personal identification tool. Palmprints with high resolution features such minutia points, ridges and singular points or low resolution features such as wrinkles and principals determine their applications. In this paper a 700nm spectral band PolyU hyperspectral palmprint database is utilized and the multiscale band let image transfo...

A novel approach of palmprint recognition using image reconstruction based on double DBNs (IR-DDBN) was proposed in this study, as principal component analysis (PCA) ignores the higher order statistics in feature extraction. Three main steps were involved in the algorithm. Firstly, whitening PCA was utilized to extract the prominent characteristics of the original palmprint image. The second st...