Palmprint is one of the discriminant biometric modalities humans. Recently, deep learning-based palmprint recognition algorithms have improved accuracy and robustness results to a new level. Most them require large amount labeled training samples guarantee satisfactory performance. However, getting enough data difficult due time consumption privacy issues. Therefore, in this article, novel meta...

This research proposes a multimodal multifeature biometric system for human recognition using two traits, that is, palmprint and iris. The purpose of this research is to analyse integration of multimodal and multifeature biometric system using feature level fusion to achieve better performance. The main aim of the proposed system is to increase the recognition accuracy using feature level fusio...

In this paper, we propose a novel robust line orientation code for palmprint verification, whose performance is improved by using three strategies. Firstly, a modified finite Radon transform (MFRAT) is proposed, which can extract the orientation feature of palmprint more accurately and solve the problem of sub-sampling better. Secondly, we construct an enlarged training set to solve the problem...

Fingerprint recognition has attracted various researchers and achieved great success. But, fingerprint alone may not be able to meet the increasing demand of high accuracy in today’s biometric system. The purpose of our paper is to inspect whether the integration of palmprint and fingerprint biometric can achieve performance that may not be possible using a single biometric technology. Pre-proc...

In this paper, we propose a new supervised linear dimensionality reduction method called discriminant projection embedding (DPE). DPE can preserve within-class neighboring geometry and extract between-class relevant structures for classification effectively. The proposed method is applied to face and palmprint recognition and is examined using the AR and FERET face databases and the PolyU palmp...

Degradation in data quality is still a main source of errors in themodern biometric recognition systems. However, the data quality can be embedded in the recognition methods at global and local levels to build more accurate biometric systems. Local quality measures represent the quality of local parts within a biometric sample. They are either combined into a global quality measure or directly ...

0262-8856/$ see front matter 2009 Elsevier B.V. A doi:10.1016/j.imavis.2009.06.004 * Corresponding author. Tel.: +852 31634251; fax: E-mail address: [email protected] (J. Chen). A new branch of biometrics, palmprint authentication, has attracted increasing amount of attention because palmprints are abundant of line features so that low resolution images can be used. In this paper, we propo...