Cited by 4Music and Audio ProcessingAnimal Vocal Communication and BehaviorBiometric Identification and Security

The DOI matches its Crossref record; 23 of the 26 references it cites were found in a registry or an index.

Acoustic Individual Identification in Birds Based on the Band-Limited Phase-Only Correlation Function

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Pedroza, Angel David, De la Rosa, José I., Rosas, Rogelio, Becerra, Aldonso, Villa, Jesús, Moreno, Gamaliel, González, Efrén, Alaniz, Daniel·2020·Applied Sciences

Abstract

A new technique based on the Band-Limited Phase-Only Correlation (BLPOC) function to deal with acoustic individual identification is proposed in this paper. This is a biometric technique suitable for limited data individual bird identification. The main advantage of this new technique, in contrast to traditional algorithms where the use of large-scale datasets is assumed, is its ability to identify individuals by the use of only two samples from the bird species. The proposed technique has two variants (depending on the method used to analyze and extract the bird vocalization from records): automatic individual verification algorithm and semi-automatic individual verification algorithm. The evaluation of the automatic algorithm shows an average precision that is over 80% for the identification comparatives. It is shown that the efficiencies of the algorithms depend on the complexity of the vocalizations.

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Research works printed but not linked: 4

  1. Emlen, 1992, Counting birds: The problem of variable hearing abilities (contando aves: El problema de la variabilidad en la capacidad auditiva), J. Field Ornithol., 63, 26
  2. Catchpole, C.K., and Slater, P.J. (2003). Bird Song: Biological Themes and Variations, Cambridge University Press.
  3. Ito, 2004, A fingerprint matching algorithm using phase-only correlation, IEICE Trans. Fundam. Electron. Commun. Comp. Sci., 87, 682
  4. Teusdea, A.C., and Gabor, G. (2009, January 25–28). Iris recognition with phase-only correlation. Proceedings of the Annals of DAAAM and Proceedings of the International DAAAM Symposium, Vienna, Austria. Available online: https://www.gale.com/intl/databases/gale-onefile.

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Metadata

Authors
Pedroza, A. D., De la Rosa, J. I., Rosas, R., Becerra, A., Villa, J., Moreno, G., González, E., & Alaniz, D.
Affiliations
  • Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Avenida Ramón López Velarde 801, Zacatecas 98000, Mexico
  • Unidad Académica de Ciencias Biológicas, Universidad Autónoma de Zacatecas, Carretera a la Bufa, Zacatecas 98000, Mexico
  • Universidad Autónoma de Zacatecas "Francisco García Salinas" (MX)
Venue
Applied Sciences
Publisher
MDPI AG
Published
2020-03-31
Volume
10
Issue
7
Pages
2382
ISSN
2076-3417 (ISSN-L)
OpenAlex
W3014290117
Cited by
4
References
26
Citations by year
2026: 1 · 2024: 1 · 2022: 1 · 2021: 1
FWCI
0.27
Type
journal article
Language
en
Open access
Locations
  • Applied Sciences (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Consejo Nacional de Ciencia y Tecnología
  • Universidad Autónoma de Zacatecas
Topics
  • Physical Sciences › Computer Science › Signal Processing › Music and Audio Processing
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Vocal Communication and Behavior
  • Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
Keywords
bird vocalizations, phase-only correlation, biometrics

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