RT Journal Article
T1 Real-time embedded eye detection system
A1 Ruiz-Beltran, Camilo Andres
A1 Romero-Garces, Adrian
A1 González-García, Martín
A1 Sánchez-Pedraza, Antonio
A1 Rodríguez-Fernández, Juan Antonio
A1 Bandera-Rubio, Antonio Jesús
K1 Procesado de imágenes - Técnicas digitales
AB The detection of a person’s eyes is a basic task in applications as important as iris recognition in biometric identification or fatigue detection in driving assistance systems. Current commercial and research systems use software frameworks that require a dedicated computer, whose power consumption, size, and price are significantly large. This paper presents a hardware-based embedded solution for eye detection in real-time. From an algorithmic point-of-view, the popular Viola-Jones approach hasbeen redesigned to enable highly parallel, single-pass image-processing implementation. Synthesized and implemented in an All-Programmable System-on-Chip (AP SoC), this proposal allows us to process more than 88 frames per second (fps), taking the classifier less than 2 ms per image. Experimental validation has been successfully addressed in an iris recognition system that works with walking subjects. In this case, the prototype module includes a CMOS digital imaging sensor providing 16 Mpixels images, and it outputs a stream of detected eyes as 640 × 480 images. Experiments for determining the accuracy of the proposed system in terms of eye detection are performed in the CASIA-Iris-distance V4 database. Significantly, they show that the accuracy in terms of eye detection is 100%.
PB Elsevier
YR 2022
FD 2022
LK https://hdl.handle.net/10630/23657
UL https://hdl.handle.net/10630/23657
LA eng
NO Expert Systems With Applications, 194 (2022) 116505
NO This work has been partially developed within the project RTI2018-099522-B-C4X, funded by the Gobierno de España and FEDER funds, and the ARMORI project (CEIATECH-10) funded by the University of Málaga. Portions of the research in this paper use the CASIA-Iris V4 collected by the Chinese Academy of Sciences - Institute of Automation (CASIA).
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026