Fusion of Thermal and Visible Ear Images for improved Biometric identification using Unsupervised Learning

Authors

  • Avula Vennela, Vishwanth Uppula, Goka Bhavika, Tejavath Sandhya, Duddukuri Saikiran Author

DOI:

https://doi.org/10.48047/dm80w761

Keywords:

Key words: Thermal Imaging, Ear Biometrics, Image Fusion, Biometric Identification, Image Preprocessing, Multimodal Biometrics

Abstract

Biometric identification has emerged as a critical component of modern security systems, with applications spanning access control, surveillance, and identity management. Traditional biometric systems primarily rely on single-modality data, such as fingerprint, facial, or iris recognition. However, these systems often suffer from performance degradation under varying environmental conditions, 
illumination changes, or partial occlusions. To address these challenges, this study proposes

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Published

20.04.2025

How to Cite

Fusion of Thermal and Visible Ear Images for improved Biometric identification using Unsupervised Learning. (2025). International Journal of Information and Electronics Engineering, 15(4), 194-205. https://doi.org/10.48047/dm80w761