1 resultado para feature based cost
em Repositorio Institucional de la Universidad Pública de Navarra - Espanha
Filtro por publicador
- Abertay Research Collections - Abertay University’s repository (1)
- Aberystwyth University Repository - Reino Unido (14)
- Academic Research Repository at Institute of Developing Economies (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (11)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (18)
- Aston University Research Archive (12)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (7)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (19)
- Boston University Digital Common (11)
- Brock University, Canada (1)
- CaltechTHESIS (5)
- Cambridge University Engineering Department Publications Database (59)
- CentAUR: Central Archive University of Reading - UK (12)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (53)
- Cochin University of Science & Technology (CUSAT), India (3)
- CORA - Cork Open Research Archive - University College Cork - Ireland (4)
- Deakin Research Online - Australia (72)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (6)
- Digital Peer Publishing (2)
- DigitalCommons@The Texas Medical Center (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (3)
- DRUM (Digital Repository at the University of Maryland) (5)
- Duke University (12)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (10)
- Glasgow Theses Service (2)
- Greenwich Academic Literature Archive - UK (9)
- Harvard University (1)
- Helda - Digital Repository of University of Helsinki (14)
- Indian Institute of Science - Bangalore - Índia (111)
- Instituto Politécnico do Porto, Portugal (2)
- Massachusetts Institute of Technology (9)
- National Center for Biotechnology Information - NCBI (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (3)
- Publishing Network for Geoscientific & Environmental Data (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (29)
- Queensland University of Technology - ePrints Archive (333)
- RepoCLACAI - Consorcio Latinoamericano Contra el Aborto Inseguro (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositorio Institucional de la Universidad Pública de Navarra - Espanha (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (10)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- Scielo Uruguai (1)
- Universidad de Alicante (4)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (33)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universitat de Girona, Spain (9)
- Université de Lausanne, Switzerland (1)
- Université de Montréal (1)
- Université de Montréal, Canada (2)
- University of Canberra Research Repository - Australia (1)
- University of Michigan (4)
- University of Queensland eSpace - Australia (9)
- University of Washington (3)
- WestminsterResearch - UK (5)
Resumo:
This paper reviews the fingerprint classification literature looking at the problem from a double perspective. We first deal with feature extraction methods, including the different models considered for singular point detection and for orientation map extraction. Then, we focus on the different learning models considered to build the classifiers used to label new fingerprints. Taxonomies and classifications for the feature extraction, singular point detection, orientation extraction and learning methods are presented. A critical view of the existing literature have led us to present a discussion on the existing methods and their drawbacks such as difficulty in their reimplementation, lack of details or major differences in their evaluations procedures. On this account, an experimental analysis of the most relevant methods is carried out in the second part of this paper, and a new method based on their combination is presented.