RT Journal Article
T1 Real-Time Embedded Eye Image Defocus Estimation for Iris Biometrics
A1 Ruiz-Beltrán, Camilo Andrés
A1 Romero-Garces, Adrian
A1 González-García, Martín
A1 Marfil-Robles, Rebeca
A1 Bandera-Rubio, Antonio Jesús
K1 Visión parcial
K1 Oftalmología
K1 Biometría
AB One of the main challenges faced by iris recognition systems is to be able to work withpeople in motion, where the sensor is at an increasing distance (more than 1 m) from the person.The ultimate goal is to make the system less and less intrusive and require less cooperation from theperson. When this scenario is implemented using a single static sensor, it will be necessary for thesensor to have a wide field of view and for the system to process a large number of frames per second(fps). In such a scenario, many of the captured eye images will not have adequate quality (contrast orresolution). This paper describes the implementation in an MPSoC (multiprocessor system-on-chip)of an eye image detection system that integrates, in the programmable logic (PL) part, a functionalblock to evaluate the level of defocus blur of the captured images. In this way, the system will beable to discard images that do not have the required focus quality in the subsequent processing steps.The proposals were successfully designed using Vitis High Level Synthesis (VHLS) and integratedinto an eye detection framework capable of processing over 57 fps working with a 16 Mpixel sensor.Using, for validation, an extended version of the CASIA-Iris-distance V4 database, the experimentalevaluation shows that the proposed framework is able to successfully discard unfocused eye images.But what is more relevant is that, in a real implementation, this proposal allows discarding up to97% of out-of-focus eye images, which will not have to be processed by the segmentation andnormalised iris pattern extraction blocks.
PB MDPI
YR 2023
FD 2023-08-29
LK https://hdl.handle.net/10630/29366
UL https://hdl.handle.net/10630/29366
LA eng
NO Ruiz-Beltrán, C. A., Romero-Garcés, A., González-García, M., Marfil, R., & Bandera, A. (2023). Real-Time embedded eye image defocus estimation for iris biometrics. Sensors, 23(17), 7491. https://doi.org/10.3390/s23177491
NO Funding for open Access charge: Universidad de Málaga / CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 24 ene 2026