— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
Many diagrams contain compound objects composed of parts. We propose a recognition framework that learns parts in an unsupervised way, and requires training labels only for compou...
This paper presents a multi-expert system for dynamic signature verification. The system uses a stroke-oriented description of signatures well-suited for multi-expert approach. Ea...
L. Bovino, Sebastiano Impedovo, Giuseppe Pirlo, L....
In this paper, we propose a generalized shock model for the enhancement and restoration of degraded gray-level character images. This model is a quasi-linear hyperbolic partial di...
This paper describes an improved thinning algorithm for binary images. We improve thinning algorithm from the fundamental properties such as connectivity, onepixel width, robust t...