Personal Authentication using Multispectral Palmprint Traits - Khandizod, Anita G.;Deshmukh, Ratnadeep
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The main objective of this book is to increase accuracy and avoid spoofing attacks from hackers. With the increasing demand for biometric solutions for security systems, palmprint recognition a relatively novel but promising biometric technology. Palmprint, as a new member of the biometrics family, has attracted much of research attention in the past decade. Many different algorithms and systems have been proposed and built; although great success has been achieved in palmprint research, most of the previous palmprint recognition works use a white light source of illumination, which does not…mehr

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Produktbeschreibung
The main objective of this book is to increase accuracy and avoid spoofing attacks from hackers. With the increasing demand for biometric solutions for security systems, palmprint recognition a relatively novel but promising biometric technology. Palmprint, as a new member of the biometrics family, has attracted much of research attention in the past decade. Many different algorithms and systems have been proposed and built; although great success has been achieved in palmprint research, most of the previous palmprint recognition works use a white light source of illumination, which does not highlight the more feature this problem is solved by a spectral band of multispectral palmprint. Palmprint recognition could be further improved in two aspects: higher accuracy and robustness against spoof attack. Multispectral imaging, a method to collect a series of images by different spectra, is a good technique to address the issues mentioned above.
Autorenporträt
Dr. Anita Gautam Khandizod has completed Ph.D. (Computer Science) from Dr. Babasaheb Ambedkar Marathwada University in 2020. She is working as an assistant professor in computer science, Information Technology, and Animation, at deogiri college, Aurangabad, her research interests include Biometrics, Digital Image Processing, Biometric, RS and GIS.