Desarrollo de un algoritmo neuro difuso para reconocimiento biométrico de voz en una tarjeta de arquitectura ARM
In the field of home automation, the access control processes and devices used must be automatic to improve the quality of life, comfort, safety saving energy and environmental resources, the system to be implemented will allow access control through the biometric voice signature, previously, the...
| Autor Principal: | Paredes Morales, Fabricio David |
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| Otros Autores: | Sarango Salto, Wilmer Rogelio |
| Formato: | bachelorThesis |
| Idioma: | spa |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: |
http://dspace.ups.edu.ec/handle/123456789/15288 |
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| Sumario: |
In the field of home automation, the access control processes and devices used must
be automatic to improve the quality of life, comfort, safety saving energy and
environmental resources, the system to be implemented will allow access control
through the biometric voice signature, previously, the different types of existing
biometric control will be analyzed to guarantee a correct recognition, the process will
allow to reduce the use of manual controls and in this way guarantee a personalized
control. The development of new biometric systems that allow personal identification
requires new technologies that can increase the degree of security and guarantee
reliability to discriminate against legitimate individuals and impostors. By means of
a traditional system for personal identification and authentication, objects that people
have are usually used, such as a card, a key, a code or a password, but these methods
present a fairly common problem because they cannot reliably distinguish the person,
since the object they use for identification can be lost or stolen. Due to this, it has
been proposed to design an algorithm based on a biometric feature such as the voice
of the individual and thus be able to obtain greater reliability, since the neural
network will be trained to identify any word, which will show a friendlier
environment with users than they interact with the system without having to
remember their passwords, making use of the Simulink computer program which
allows the program to be developed on a Raspberry Pi card. |
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