The face is the most visible biometric feature considered in manual and automated systems
to identify individuals. In recent years, the inventions of low-cost high-resolution mobile …

Nowadays, more and more places need authentication. Face recognition is a mature
technology for identity verification research. Recognition accuracy is an important indicator …

Iris Recognition is gaining popularity in various online and offline authentication and multi-
model biometric systems. The non-altering and non-obscuring nature of Iris have increased …

Varied Illumination and unequal contrast are the critical challenges in the face recognition
system. This paper presents a multi-stage hybrid model to handle extreme illumination …

目的针对2 维线性鉴别分析提取人脸特征向量稳定性较差, 仅对行或列方向提取特征时容易丢失
不同行或列间有助于鉴别分析的协方差信息, 同时存在特征维数较高的问题, 提出一种广义并行2 …

The increasing demand for high-accuracy face recognition methods and the rapid
advancement in instrumentation has made hyperspectral face recognition a viable …

Prior research has found the beauty premium effect in peer-to-peer (P2P) lending markets.
However, it remains unknown whether and how lenders rely on borrowers' facial …

Faces extracted in bad light are affected in terms of unequal contrast, noise, and variant
illumination. These kinds of disruptions decrease the accuracy of facial authentication real …

A facial extracted image does not have the equalized distribution of features over the
complete image. Instead, most striking features are located within the core of the facial part …

In unsupervised classification, the subspace clustering is gaining the scope for the
categorization of the more comprehensive and random image pool. In this paper, the visual …