Feature Analysis in Online Signature Verification on Digital Whiteboard : An analysis on the performance of handwritten signature authentication using local and global features with Hidden Markov models
The usage of signatures for authentication is widely accepted, and remains one of the most familiar biometric in our society. Efforts to digitalise and automate the verification of these signatures are hot topics in the field of Machine Learning, and a plethora of different tools and methods have be...
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Format: | Others |
Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2018
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224661 |