This paper presents a novel Daubechies-based kernel Principal Component Analysis (PCA) method by integrating the Daubechies wavelet representation of palm images and the kernel PCA method for palmprint recognition. The palmprint is first transformed into the wavelet domain to decompose palm images and the lowest resolution subband coefficients are chosen for palm representation. The kernel PCA ...

This paper presents a new method for personal recognition using palmprints. This method uses, inkless, normalized palmprint images to generate eigenpalms. Every palmprint image is thus characterized by a feature vector, consisting of weights from eigenpalm images. The performance of proposed method using two measures i.e., minimum Euclidean distance and maximum similarity measure, is evaluated....

Palmprint Recognition Using Image Processing Written by Administrator Wednesday, 16 March 2011 08:58 Last Updated Monday, 21 March 2011 07:23 In today’s world, biometrics system is used almost everywhere for the security and personal recognition. The palmprint is one of the most reliable physiological characteristics that can be used to distinguish between individuals. The primary objective of ...

Palmprint Recognition Using Image Processing Written by Administrator Wednesday, 16 March 2011 08:58 Last Updated Monday, 21 March 2011 07:23 In today’s world, biometrics system is used almost everywhere for the security and personal recognition. The palmprint is one of the most reliable physiological characteristics that can be used to distinguish between individuals. The primary objective of ...

Palmprint identification provides a new technique for personal authentication. Previous research on palmprint identification mainly focuses on feature extraction and representation (Pattern Recognition 33(4) (1999) 691). But a crucial issue, palmprint alignment, is not addressed. Palmprint alignment involves moving and rotating the palmprints to locate at their correct position with the same di...

Palmprint authentication is a means of personal authentication that uses unique palmprint features. Palmprint is obtained by just scanning the user's palm on the platform of the scanner when scanning is performed. So, it is subjected to various physical disturbances such as variable size, noise and orientation, which will degrade the verification process. Therefore image preprocessing plays an ...

Palmprint Recognition Under Unconstrained Scenes p. 1 Comparative Studies on Multispectral Palm Image Fusion for Biometrics p. 12 Learning Gabor Magnitude Features for Palmprint Recognition p. 22 Sign Recognition Using Constrained Optimization p. 32 Image and Video Processing Depth from Stationary Blur with Adaptive Filtering p. 42 Three-Stage Motion Deblurring from a Video p. 53 Near-Optimal M...

Biometric authentication has been found to be an effective method for recognizing a person’s identity with a high confidence. In this field, the use of palmprint represents a recent trend. To make the palmprint-based recognition systems more user-friendly and sanitary, researchers have been investigating how to design such systems in a contactless manner. Though substantial effort has been devo...

In this paper, we consider the common problem of automatically recognizing palmprint with varying illumination and image noise. Gabor wavelets can be well represented for biometric image for their similar characteristics to human visual system. However, these Gabor-based algorithms are not robust for image recognition under non-uniform illumination and noise corruption. To improve the recogniti...