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Sistema de identificación biométrica basado en el parpadeo de los ojos

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOES20171221001
Publicado:
30/01/2018
Caducidad:
30/01/2019
Resumen:
Una universidad española ha desarrollado un método de autenticación biométrica mediante el reconocimiento del parpadeo de una persona. Este sistema consiste en estudiar y caracterizar los cambios de intensidad de luz difusa durante el proceso de parpadeo. El método permite la autenticación de personas mediante un procedimiento sin contacto e incluso inconscientemente. Entre sus ventajas cabe destacar el bajo coste, la posibilidad de utilizar el sistema en dispositivos electrónicos portátiles y el coste computacional similar al coste de otras técnicas de autenticación (voz, etc.). La universidad busca empresas interesadas en establecer acuerdos de licencia o cooperación técnica.

Details

Tittle:
Biometric identification system based on eye blinking
Summary:
A Spanish university has developed a method for biometric authentication by recognizing the blinking of a subject. It consists of studying and characterizing the changes in the intensity of diffused light during the blinking process. This method allows the authentication of subjects by means of a contactless procedure, and even unconsciously. Companies interested in licensing or technical cooperation agreements are sought.
Description:
Biometric authentication is the automatic study for the unique recognition of human beings based on one or more identifiers. These biometric identifiers can be classified as behavioural or physiological traits.

Physiological features are related to intrinsic physical characteristics of the body such as fingerprint, veins or palm print, face, DNA, iris, retina, electroencephalogram or electrocardiogram. Behavioural traits, on the other hand, are related to a person´s behavioural pattern, such as the rhythm of writing, signing, or voice.

Eye movements have recently been used as physiological traits suitable for human biometric authentication.

Traditionally, blinking has been evaluated primarily by contact techniques that require the use of electrodes to measure the electrooculogram. However, it is also possible to use non-contact recording procedures, such as photography or video, that allow quantitative evaluation of eyelid movement during blinking without interfering with the subject. The most frequently studied characteristics of blinking are frequency and duration due to their relationship with mental states such as fatigue, attention spans and stress. In this case, authentication blinking parameters are related to the intensity of light diffused by the eye and eyelid during the blinking process.

In this sense, a Spanish research group has developed a method for biometric identification based on eye blinking comprising the following stages:

Recording a blinking sequence of a subject with a digital video camera with acquisition speed faster than 150 frames per second.
Analysis of the intensity changes (captured by the digital video camera) of the light diffused by at least one eye and its corresponding eyelid.
Kinematic and dynamic characterization of the blinking: this characterization could be configured to identify a subject by means of a classification algorithm.

The identification and authentication of a subject from a video sequence of its blinking is performed by analysing the intensity changes captured by a digital camera of the light diffused by the eye and its corresponding eyelid. These changes are directly related to eyelid displacement. From the variation of the eyelid position over time, a series of physical parameters that characterize the kinematics and dynamics of blinking are calculated. These parameters will be used to identify each subject in a classification process.

The intensity of the light diffused by the illuminated eyelid varies depending on its position, being maximum when the eyelid is closed and minimum when it is open. Therefore, blinks will appear as peaks in the intensity profile.

A peak detection algorithm is used to isolate each eye blink and to adjust it to a smooth curve to eliminate the effect of noise. The kinematic and dynamic parameters obtained are suitable for biometric authentication of a human being by means of classification algorithms, that assign these parameters from a blinking to a selected class among a plurality of classes.

Different classification algorithms have been evaluated and a correct identification rate of up to 99% has been obtained.

The technology can be applied in all activities related to the biometric industry, for example: information and communication technologies, electronics, safety and security, military, tourism, health, etc.

Companies interested in acquiring this technology are sought for commercial exploitation through:
· Patent licensing agreements.
· Technical collaboration agreements: Joint further development or research and development projects to adapt the technology to the needs of the company.
Advantages and Innovations:
The main innovative aspect of this technology is the dynamic characterization from subject blinking. While, its most remarkable advantages are:

· Non-contact authentication method (short or medium distances).
· It can be applied unconsciously on a subject.
· Low cost - Very affordable cameras and devices can be used.
· Possibility of use in portable electronic devices.
· Computational cost similar to that of other authentication techniques (voice, etc.)
Stage of Development:
Under development/lab tested
IPs:
Patent(s) applied for but not yet granted
CommeR Statunts Regarding IPR Status:
Spanish patent applied for but not yet granted.

Partner sought

Type and Role of Partner Sought:
- Type of partner sought: Companies
- Specific area of activity of the partner: biometrics, information and communication technologies, electronics, safety and security, military, tourism, health.
- Task to be performed: Commercial exploitation of the technology through patent licensing agreements, or R-Y-D project to adapt it to their needs. Joint further development.

Client

Type and Size of Client:
University
Already Engaged in Trans-National Cooperation:
No
Languages Spoken:
English
Spanish

Keywords

Technology Keywords:
06003001 Bioinformática
06005001 Seguridad y sistemas
02009022 Sistemas de seguridad