Palmprint identification performance improvement via patch-based binarized statistical image features (Erratum)

Image alignment based on invariant features for palmprint identification

Palmprint identification provides a new technique for personal authentication. Previous research on palmprint identification mainly focuses on feature extraction and representation (Pattern Recognition 33(4) (1999) 691). But a crucial issue, palmprint alignment, is not addressed. Palmprint alignment involves moving and rotating the palmprints to locate at their correct position with the same di...

Statistical and Adaptive Patch-based Image Denoising

JPEG compressed image retrieval via statistical features

To improve e-ciency of compressed image retrieval, we propose a novel statistical feature extraction algorithm in this paper to characterize the image content directly in its compressed domain. The statistical feature extracted is mainly through computing a set of moments directly from DCT coe-cients without involving full decompression or inverse DCT. Following the algorithm design, a content-...

Analysis of Sampling Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience

This paper studies the role of different sampling techniques in the process of learning Binarized Statistical Image Features (BSIF). It considers various sampling approaches including random sampling and selective sampling. The selective sampling utilizes either human eye tracking data or artificially generated fixations. To generate artificial fixations, this paper exploits salience models whi...

Palmprint Identification Using Image Reconstruction Based Double DBNs

A novel approach of palmprint recognition using image reconstruction based on double DBNs (IR-DDBN) was proposed in this study, as principal component analysis (PCA) ignores the higher order statistics in feature extraction. Three main steps were involved in the algorithm. Firstly, whitening PCA was utilized to extract the prominent characteristics of the original palmprint image. The second st...