New method for subject identification based on palm print

Heber I. Mejía-Cabrera, Rafael Antón Chiclayo, J. Nicolás Flores, Victor Tuesta-Monteza, Manuel G. Forero

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)


Nowadays, new security and protection systems for citizens are being developed, since criminals have found techniques to violate those already known, such as those based on fingerprints, facial recognition, iris and voice. Thus, using biometric data, new systems are being developed that are more secure, infallible and fast to identify each person, making it impossible to impersonate them, as has happened with other methods. Recently new identification methods have been proposed based on hand geometry and palmprint based on texture techniques for the identification of hand characteristics such as ridges, edges, points, and textures. Following this trend, this paper presents a method based on the detection of the palm print, acquired by contact, through the use of a scanner. For this purpose, the image is segmented to detect the silhouette of the hand and delimit the working area, achieving greater speed in identification. The images are then used as input to a convolutional neural network VGG 16 for learning and identification of subjects, achieving 100% accuracy.

Idioma originalInglés
Título de la publicación alojadaApplications of Digital Image Processing XLIII
EditoresAndrew G. Tescher, Touradj Ebrahimi
ISBN (versión digital)9781510638266
EstadoPublicada - 2020
Publicado de forma externa
EventoApplications of Digital Image Processing XLIII 2020 - Virtual, Online, Estados Unidos
Duración: 24 ago. 20204 set. 2020

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X


ConferenciaApplications of Digital Image Processing XLIII 2020
País/TerritorioEstados Unidos
CiudadVirtual, Online

Nota bibliográfica

Publisher Copyright:
© 2020 SPIE


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