In this paper one dimensional Discrete Cosine Transform (DCT) has been used to design an efficient palmprint based recognition system. It extracts the palmprint from the hand images which are acquired using a flat bed scanner at spatial resolution of 200 dpi. It makes use of several new techniques which helps to correct the non-uniform brightness of the palmprint, to determine the global qualit...

In this paper, we propose a feature-level fusion approach for improving the efficiency of palmprint identification. Multiple elliptical Gabor filters with different orientations are employed to extract the phase information on a palmprint image, which is then merged according to a fusion rule to produce a single feature called the Fusion Code. The similarity of two Fusion Codes is measured by t...

Among the members of biometric identifiers, the palmprint and the palmvein have received significant attention due to their stability, uniqueness, and non-intrusiveness. In this paper, we investigate the problem of palmprint/palmvein recognition and propose a Deep Convolutional Neural Network (DCNN) based scheme, namely PalmRCNN (short for palmprint/palmvein recognition using CNNs). The effecti...

A palmprint based authentication system that can work with a multipurpose camera in uncontrolled circumstances, such as those mounted on a laptop, mobile device or those for surveillance, can dramatically increase the applicability of such a system. However, the performance of existing techniques for palmprint authentication fall considerably, when the camera is not aligned with the surface of ...

The security of personal identities is a serious challenge in today's digital world, with so many daily transactions requiring secure solutions. use biometric characteristics the person presented as reliable solution to solve this problem. Indeed, effective, but it hides weak point which lies ability reproduce certain for fraud. To overcome point, we propose approach palmprints that relies on c...

This paper presents a palmprint recognition system in which we propose a novel acquisition device and a Robust Discriminant Orientation Code, called RDORIC, for palmprint identification. In order to get the clear line features, the device is designed to capture the palmprint images under Green illuminations. To extract RDORIC feature, we present the algorithm which includes two main steps: (1) ...

Single-sensor approaches to multimodal biometric authentication targeting the human hand in multiple-matcher scenarios provide higher security in terms of accuracy and resistance to biometric system attacks than unimodal systems. This paper introduces a novel multimodal hand biometric system using palmar images acquired by a commercially available flatbed scanner. Hence, the presented approach ...