ECE Seminar Tomorrow, Friday, December 1st

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Electrical & Computer Engineering Seminar Deep Fusion of Biometric Authentication through Contactless Palmprint and Fingerprint Integration A M Mahmud Chowdhury PhD Student, Clarkson University Abstract: This talk presents the rapidly evolving field of biometric identification, the integration of palmprint and fingerprint recognition has shown significant promise, particularly in contactless modalities. Our work introduced an innovative approach to enhance biometric recognition using images captured by smartphones. We have planned to develop the first open-source Android application designed for high-quality capture of finger and palm images, addressing the growing need for contactless identity verification and overcoming current constraints in biometric recognition. Our objective was to refine image quality at the point of capture using real-time quality assessments and to advance biometric recognition by fusing contactless fingerprints and palmprints. This approach yielded a unique multimodal dataset, facilitating extensive research and benchmarking in the field. The application, apart from enabling the capture of raw and .jpeg images using advanced camera APIs, also featured algorithms for detecting Regions of Interest (ROIs) in palms and fingertips, assessed image quality through sharpness, blurriness, and ambient light monitoring, and optimized capture distance. Furthermore, we proposed to develop and implement comprehensive quality metrics for the captured images, focusing on blur detection, contrast ratios, skin color correlation, and effective segmentation of fingers and palms. In the end, we validated the feasibility of smartphone-captured multimodal biometrics for authentication tasks, employing a Deep Learning-based fusion model. This research not only aimed to enhance biometric recognition accuracy for improved security but also contributed an open-source tool and a pioneering dataset to the biometric research community. Bio: A M Mahmud Chowdhury is a PhD student at the Clarkson University. His research interests focus on advanced contactless biometrics especially in deep learening, biometric fusion (specifically contactless fingerprint and palmprint) to increase the biometric accuracy. Prior to joining Clarkson, Mahmud completed his MS at GIST in South Korea and pursued his undergraduate studies at the University of Chittagong in Bangladesh. Friday, Dec 01, 2023, 4pm CAMP 176 Via Zoom: https://clarkson.zoom.us/j/99691121283 *Co-Sponsored by IEEE student branch and HKN ________________________________________________________________ Electrical and Computer Engineering l CLARKSON UNIVERSITY l Potsdam, New York 13699-5720

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