| Revue: | Computación y Sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000457799 |
| ISSN: | 1405-5546 |
| Autores: | Santiago Montero, Raúl1 Aguilar Figueroa, Raúl2 Sancen Plaza, Agustín3 Baltazar Flores, María del Rosario1 Gutiérrez Hernández, David Asael1 Mosiño, Juan Francisco1 |
| Instituciones: | 1Instituto Tecnológico de León, División de Estudios de Posgrado e Investigación, Guanajuato. México 2Instituto Tecnológico de Zitácuaro, Michoacán. México 3Instituto Tecnológico de Celaya, Department of Engineering Sciences, Guanajuato. México |
| Año: | 2020 |
| Periodo: | Ene-Mar |
| Volumen: | 24 |
| Número: | 1 |
| Paginación: | 325-329 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | Biometrics focuses on simulate the human ability to associate one or a set of corporal features of a person in a unique way by uses a specific representation, this representation is knows as identity. Visible spectrum face recognition is the identification way more natural which has a higher universality, collectability and acceptability front to the other biometrics modalities, but is weak in the invariance and distinctiveness criterion to be a good biometric. In order to improve the face recognition, the infrared spectrum arises as a good representation to solve these drawbacks in biometric identification. Buddharaju et al., proposed a process by which the vascular net is detected [3] . However, Wu et al. [19,21], criticized this approach by not take into account the heat transfer between the environment and the person in the time to take the image and proposed a modification of image thermogram and show that it is a better solution to make up for the heat change. This paper is written intending to know if there is a significant difference between both approaches to be used as biometric representation. We found that the normalization of the thermograms, proposed by Wu et al., do not affect the distinctive zones of high blood perfusion to be used as biometric representation |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Procesamiento de datos, Programación, Inteligencia artificial, Reconocimiento facial, Imagen térmica, Zonas de perfusión, Descripción de formas |
| Keyword: | Data processing, Programming, Artificial intelligence, Face recognition, Thermal image, Perfusion zones, Shape description |
| Texte intégral: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
