Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/19474
Author(s): | Filipe Tiago Alves de Magalhães Hélder P. de Oliveira Aurélio C. Campilho |
Title: | A new method for the detection of singular points in fingerprint images |
Issue Date: | 2009 |
Abstract: | Automatic biometric identification based on fingerprints is still one of the most reliable identification method in criminal and forensic applications. A critical step in fingerprint analysis without human intervention is to automatically and reliably extract singular points from the input fingerprint images. These singular points (cores and deltas) not only represent the characteristics of local ridge patterns but also determine the topological structure (i.e., fingerprint type) and largely influence the orientation field. Poincaré Indexbased methods are one of the most common for singular points detection. However, these methods usually result in many spurious detections. Therefore, we propose an enhanced version of the method presented by Zhou et al. [13] that introduced a feature called DORIC to improve the detection. Our principal contribution lies in the adoption of a smoothed orientation field and in the formulation of a new algorithm to analyze the DORIC feature. Experimental results show that the proposed algorithm is accurate and robust, giving better results than the best reported results so far, with improvements in the range of 5% to 7%. |
Subject: | Processamento de imagem, Engenharia electrotécnica, electrónica e informática Image processing, Electrical engineering, Electronic engineering, Information engineering |
Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
URI: | https://hdl.handle.net/10216/19474 |
Source: | Proceedings of the IEEE Workshop on Applications of Computer Vision |
Document Type: | Artigo em Livro de Atas de Conferência Internacional |
Rights: | openAccess |
License: | https://creativecommons.org/licenses/by-nc/4.0/ |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
This item is licensed under a Creative Commons License