Research Article

Person Verification and Gender Detection Based On Single-hand Image Using Feature Extraction

Volume: 9 Number: 2 June 17, 2026
EN

Person Verification and Gender Detection Based On Single-hand Image Using Feature Extraction

Abstract

Biometric authentication has become increasingly important in security and identity management applications. This study proposes a multi-stage biometric system capable of performing both person verification and gender detection using single-hand images. The proposed framework integrates multiple feature extraction and classification strategies within a unified experimental setup. Three feature extraction methods (Zernike moments (ZM), wavelet transform (WT), and Hough transform (HT)) are employed in single and hybrid combinations, yielding five distinct feature extraction configurations. The classification stage includes five classical machine learning models, a triple hybrid ensemble model, and one deep learning model, including Decision Trees (DT), Gradient Boosting (GB), Gaussian Naive Bayes (GNB), Random Forest (RF), Support Vector Classifier (SVC), a triple hybrid model (DT+GB+GNB), and a Deep Neural Network (DNN), enabling a comprehensive comparative analysis. Experimental results show that the SVC and DNN models achieved the highest performance, yielding person verification accuracy of 97.86% and gender detection accuracy of 98.00%, respectively. The findings of this study demonstrate the feasibility of a unified hand-based biometric framework and provide valuable insights for the design of robust and scalable biometric authentication systems.

Keywords

References

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Details

Primary Language

English

Subjects

Artificial Intelligence (Other)

Journal Section

Research Article

Early Pub Date

June 11, 2026

Publication Date

June 17, 2026

Submission Date

October 27, 2025

Acceptance Date

February 16, 2026

Published in Issue

Year 2026 Volume: 9 Number: 2

APA
Katılmış, Z., & Koç, Ş. (2026). Person Verification and Gender Detection Based On Single-hand Image Using Feature Extraction. Sakarya University Journal of Computer and Information Sciences, 9(2), 546-562. https://doi.org/10.35377/saucis...1807774
AMA
1.Katılmış Z, Koç Ş. Person Verification and Gender Detection Based On Single-hand Image Using Feature Extraction. SAUCIS. 2026;9(2):546-562. doi:10.35377/saucis.1807774
Chicago
Katılmış, Zekeriya, and Şevval Koç. 2026. “Person Verification and Gender Detection Based On Single-Hand Image Using Feature Extraction”. Sakarya University Journal of Computer and Information Sciences 9 (2): 546-62. https://doi.org/10.35377/saucis. 1807774.
EndNote
Katılmış Z, Koç Ş (June 1, 2026) Person Verification and Gender Detection Based On Single-hand Image Using Feature Extraction. Sakarya University Journal of Computer and Information Sciences 9 2 546–562.
IEEE
[1]Z. Katılmış and Ş. Koç, “Person Verification and Gender Detection Based On Single-hand Image Using Feature Extraction”, SAUCIS, vol. 9, no. 2, pp. 546–562, June 2026, doi: 10.35377/saucis...1807774.
ISNAD
Katılmış, Zekeriya - Koç, Şevval. “Person Verification and Gender Detection Based On Single-Hand Image Using Feature Extraction”. Sakarya University Journal of Computer and Information Sciences 9/2 (June 1, 2026): 546-562. https://doi.org/10.35377/saucis. 1807774.
JAMA
1.Katılmış Z, Koç Ş. Person Verification and Gender Detection Based On Single-hand Image Using Feature Extraction. SAUCIS. 2026;9:546–562.
MLA
Katılmış, Zekeriya, and Şevval Koç. “Person Verification and Gender Detection Based On Single-Hand Image Using Feature Extraction”. Sakarya University Journal of Computer and Information Sciences, vol. 9, no. 2, June 2026, pp. 546-62, doi:10.35377/saucis. 1807774.
Vancouver
1.Zekeriya Katılmış, Şevval Koç. Person Verification and Gender Detection Based On Single-hand Image Using Feature Extraction. SAUCIS. 2026 Jun. 1;9(2):546-62. doi:10.35377/saucis. 1807774

 

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