Applications of Signal Analysis in Biometrics

Dear Colleagues, 

Biometrics is the science of recognizing individuals based on their physical, behavioral, and physiological traits, such as fingerprints, face, and iris, to name a few. Signal analysis has emerged as a foundational tool for enhancing the accuracy, security, and user convenience of biometric systems. As we witness the growing integration of biometric technologies across diverse sectors, including security, healthcare, and mobile applications, the role of sophisticated signal processing techniques has become increasingly pivotal. This Special Issue will explore the convergence of signal analysis with biometric technologies, aiming to address both existing challenges and new opportunities 

This Special Issue, titled “Applications of Signal Analysis in Biometrics”, will gather insights into cutting-edge research and innovations in signal analysis that enhance and expand the capabilities of biometric systems. We encourage submissions that not only advance the theoretical understanding of signal processing in biometrics but also demonstrate practical applications and innovations in real-world scenarios. By compiling these research efforts, we will foster a deeper understanding of how signal analysis can continue to revolutionize biometrics. 

We are particularly interested in submissions that cover, but are not limited to, the following topics:

• Advanced algorithms for feature extraction and signal enhancement in biometric systems;
• Application of machine learning and artificial intelligence in signal processing for biometric authentication;
• Innovations in multimodal biometrics and their challenges in signal integration;
• Security and privacy issues pertaining to the signal processing in biometric systems;
• Performance evaluation metrics and standards for signal processing in biometrics;
• Case studies demonstrating the implementation of signal analysis in various biometric applications, such as facial recognition, fingerprint analysis, and voice identification.

Dr. Pengpeng Hu
Dr. Gengshen Wu
Prof. Dr. Vasile Palade
Guest Editors

Manuscript Submission Information

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