Investigation into DCT Feature Selection for Visual Lip-Based Biometric Authentication

This paper investigated using lip movements as a behavioural biometric for person authentication. The system was trained, evaluated and tested using the XM2VTS dataset, following the Lausanne Protocol configuration II. Features were selected from the DCT coefficients of the greyscale lip image. This paper investigated the number of DCT coefficients selected, the selection process, and static and dynamic feature combinations. Using a Gaussian Mixture Model - Universal Background Model framework an Equal Error Rate of 2.20% was achieved during evaluation and on an unseen test set a False Acceptance Rate of 1.7% and False Rejection Rate of 3.0% was achieved. This compares favourably with face authentication results on the same dataset whilst not being susceptible to spoofing attacks.

k-fold Subsampling based Sequential Backward Feature Elimination

We present a new wrapper feature selection algorithm for human detection. This algorithm is a hybrid featureselection approach combining the benefits of filter and wrapper methods. It allows the selection of an optimalfeature vector that well represents the shapes of the subjects in the images. In detail, the proposed featureselection algorithm adopts the k-fold subsampling and sequential backward elimination approach, while thestandard linear support vector machine (SVM) is used as the classifier for human detection. We apply theproposed algorithm to the publicly accessible INRIA and ETH pedestrian full image datasets with the PASCALVOC evaluation criteria. Compared to other state of the arts algorithms, our feature selection based approachcan improve the detection speed of the SVM classifier by over 50% with up to 2% better detection accuracy.Our algorithm also outperforms the equivalent systems introduced in the deformable part model approach witharound 9% improvement in the detection accuracy

Women of Letters: Gender, Writing and the Life of the Mind in Early Modern England

Women of letters writes a new history of English women's intellectual worlds using their private letters as evidence of hidden networks of creative exchange. The book argues that many women of this period engaged with a life of the mind and demonstrates the dynamic role letter-writing played in the development of ideas. Until now, it has been assumed that women's intellectual opportunities were curtailed by their confinement in the home. This book illuminates the household as a vibrant site of intellectual thought and expression. Amidst the catalogue of day-to-day news in women's letters are sections dedicated to the discussion of books, plays and ideas. Through these personal epistles, Women of letters offers a fresh interpretation of intellectual life in the late seventeenth and early eighteenth centuries, one that champions the ephemeral and the fleeting in order to rediscover women's lives and minds.