This report presents a Bayesian version of empirical orthogonal functions (EOFs) and thereby overcomes a difficulty with the classical version of these functions when an environmental process is autocorrelated as most are. The approach partitions the spatial variation into long and short scale variation, the latter including measurement errors. The most general version of our results incorporat...

Form document analysis is one of the most essential tasks in document analysis and recognition. One of the most fundamental and crucial tasks is the extraction of the reference lines which are contained in almost all form documents. This paper presents an efficient methodology for the complicated grey-level form image processing. We construct a non-orthogonal wavelet with adjustable rectangle s...

One important category of non-ideal conditions for iris recognition is off-angle iris images. Practically it is very difficult for images to be captured with no offset. It then becomes necessary to account for off angle information in order to maintain robust performance. A bi-orthogonal wavelet based iris recognition system, previously designed at our lab, is modified and demonstrated to perfo...

This paper presents an algebraic approach to construct Mband orthogonal wavelet bases. A system of constraint equations is obtained for M-band orthonormal filters, and then a solution based on SVD (Singular Value Decomposition) is developed to enable us to produce innumerable wavelet bases of given length. Also the property of 2 vanishing moments is integrated into our wavelet construction proc...

Using satellite-observed Normalized Difference Vegetation Index (NDVI) data and Rotated Empirical Orthogonal Function (REOF) method, we analyzed the spatio-temporal variation of vegetation during growing seasons from May to September in the Three-River Source Region, alpine meadow in the QinghaiTibetan Plateau from 1982 to 2006. We found that NDVI in the centre and east of the region, where the...