Much of the success fingerprint recognition is attributed to minutiae-based representation. It was believed that minutiae templates could not be inverted obtain a high fidelity image, but this assumption has been shown false. The deep learning resulted in alternative representations (embeddings), hope they might offer better accuracy as well non-invertibility network-based templates. We evaluat...

Sequence variables are an advanced feature of modern languages which allows to program in a declarative and easy to understand way. Functional programming with sequence variables relies on the choice of a matcher, which in general is not unique. We propose a number of idioms for programming with sequence variables which enable the user to control the choice of the matcher. To this end we have d...

A method is presented for matching two scene descr ip t ions, each of which consists of a set of measured feature vectors w i th estimated uncer ta int i e s . The two scenes d i f f e r by a transformation that depends on a few unknown parameters. The method performs a search by sequent ia l ly matching features of one scene to those of the other scene, solv ing for the transformation paramete...

In this article we describe how to expand a partially dynamic reconfigurable pattern matcher for regular expressions presented in previous work by Divyasree and Rajashekar [2]. The resulting, extended, pattern matcher is fully dynamically reconfigurable. First, the design is adapted for use with parameterisable configurations, a method for Dynamic Circuit Specialization. Using parameterisable c...

Face image quality can be defined as a measure of the utility of a face image to automatic face recognition. In this work, we propose (and compare) two methods for automatic face image quality based on target face quality values from (i) human assessments of face image quality (matcher-independent), and (ii) quality values computed from similarity scores (matcher-dependent). A support vector re...