This paper investigates a new approach for the personal recognition using rank-level
combination of multiple biometrics representations. There has been very little effort to study …

Palm Print is one of the relatively new physiological biometrics, attracted the researchers
due to its stable and unique characteristics. The rich feature information of palm print offers …

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 …

Palm print is a unique and reliable biometric characteristic with high usability. Many palm
print recognition algorithms and systems have been successfully developed in the past …

Orientation coding based palmprint verification methods, such as competitive code,
palmprint orientation code and robust line orientation code, are state-of-the-art verification …

In this paper, a frequency domain feature extraction algorithm for palm-print recognition is
proposed, which efficiently exploits the local spatial variations in a palm-print image. The …

Canonical Correlation Analysis (CCA) is a standard tool in statistical analysis that measures
the linear relationship between two data sets. In this paper, we present a multibiometric …

Valuable information can be hidden in images. The need for image mining is high in view of
the fast growing amounts of image data. In this paper, we first point out unique …

摘要提出一种具有信息丰富, 稳定性强, 低分辨率可采集等特征的掌纹纹理识别方法.
该方法首先从6 个方向计算掌纹图像每点的相位一致性, 把该点相位一致性最大值对应的方向 …

Palmar flexion crease recognition is a palmprint identification method for verifying biometric
identity. This paper proposes a method of automated flexion crease recognition that can be …