Optimizing Block-wise Texture Features for Non-Invasive Diabetes Detection from Facial Images

Christina Garcia; Patricia Angela Abu; Rosula S.J. Reyes

doi:10.1088/1742-6596/3180/1/012021

Optimizing Block-wise Texture Features for Non-Invasive Diabetes Detection from Facial Images

Department of Information Systems and Computer Science

Kyushu Institute of Technology
Adamson University

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Article number	012021
Journal	Journal of Physics: Conference Series
Volume	3180
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/3180/1/012021
State	Published - 2026
Event	International Symposium on Applied Science, ISAS 2025 - Ho Chi Minh, Viet Nam Duration: Oct 17 2025 → Oct 19 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

General Physics and Astronomy

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10.1088/1742-6596/3180/1/012021

Cite this

@article{bd43e021ac1f4a3d96e7a67192a6fc9a,

title = "Optimizing Block-wise Texture Features for Non-Invasive Diabetes Detection from Facial Images",

author = "Christina Garcia and Abu, \{Patricia Angela\} and Reyes, \{Rosula S.J.\}",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; International Symposium on Applied Science, ISAS 2025 ; Conference date: 17-10-2025 Through 19-10-2025",

year = "2026",

doi = "10.1088/1742-6596/3180/1/012021",

language = "English",

volume = "3180",

journal = "Journal of Physics: Conference Series",

issn = "1742-6588",

publisher = "IOP Publishing Ltd.",

number = "1",

}

TY - JOUR

T1 - Optimizing Block-wise Texture Features for Non-Invasive Diabetes Detection from Facial Images

AU - Garcia, Christina

AU - Abu, Patricia Angela

AU - Reyes, Rosula S.J.

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2026

Y1 - 2026

UR - https://www.scopus.com/pages/publications/105034095117

UR - https://www.scopus.com/pages/publications/105034095117#tab=citedBy

U2 - 10.1088/1742-6596/3180/1/012021

DO - 10.1088/1742-6596/3180/1/012021

M3 - Conference article

AN - SCOPUS:105034095117

SN - 1742-6588

VL - 3180

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

IS - 1

M1 - 012021

T2 - International Symposium on Applied Science, ISAS 2025

Y2 - 17 October 2025 through 19 October 2025

ER -

Optimizing Block-wise Texture Features for Non-Invasive Diabetes Detection from Facial Images

UN SDGs

ASJC Scopus Subject Areas

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