Finger knuckle print can be extremely beneficial for person identity. Finger knuckle as a new
biometric approach which supplying huge scope for researchers in few years. In this system …

目的掌纹识别技术作为一种新兴的生物特征识别技术越来越受到广泛重视. 深度学习是近10
年来人工智能领域取得的重要突破. 但是, 基于深度学习的掌纹识别相关研究还比较初步 …

Palmprint‐based human authentication has shown great potential for civil, forensic, and
corporate security applications in recent years. Palmprint recognition systems suffer …

In this paper, we deal with multimodal biometric systems based on palmprint recognition. In
this regard, several palmprint-based approaches have been already proposed. Although …

Correlation Filters are a class of classifiers, which are specifically optimized to produce
sharp peaks in the correlation output, primarily to achieve accurate localization of targets in …

Low resolution palmprint images consist of discriminative multisized and multidirectional
principal lines and wrinkles. Intuitively, discrete wavelet transform (DWT) is a good choice to …

In this work we investigate the performance of Advanced Correlation Filters (ACFs) in the
automatic classification of partial shoeprints for use in forensic science. In particular, the …

Correlation filter is one of important and powerful tools in pattern recognition. Recently, the
method of band-limited phase-only correlation (BLPOC) has been successfully used for …

Biometrics, similar to other pattern recognition systems, are essentially based on data
collection and learning techniques. In this chapter, we will first give an overview on the …