Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities
@article{Bibi2019BiometricSA, title={Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities}, author={Kiran Bibi and Saeeda Naz and Arshia Rehman}, journal={Multimedia Tools and Applications}, year={2019}, volume={79}, pages={289-340} }
Biometric systems are playing a key role in the multitude of applications and placed at the center of debate in the scientific research community. Among the numerous biometric systems, handwritten signature verification has got keen interest over the last three decades. Handwritten signature verification is the behavioral bio-metric system that discriminates the genuine signature from the pre-stored known signatures. It has been researched in the number of application areas like banking…
17 Citations
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A systematic review of the role of Machine learning in Lockdown Exam Management Systems was conducted by evaluating 135 studies over the last five years and concluded with issues and challenges that machine learning imposes on the examination system.
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