Biometric Identification Technologies Based on Modern Data Mining Methods 2020
DOI: 10.1007/978-3-030-48378-4_4
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Analysis of the Dynamics of Handwriting for Biometric Personality Identification Based on Cellular Automata

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Cited by 2 publications
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“…A more correlated work has been recently proposed by Bilan et al (2021), where they have used the direction of movement from handwritten text to diminish the false recognition rates from statistical handwritten text images. Additionally, they combined the proposed approach with asynchronous cellular automata, which helped identify whether a person has written text in different directions and scales.…”
Section: Related Workmentioning
confidence: 99%
“…A more correlated work has been recently proposed by Bilan et al (2021), where they have used the direction of movement from handwritten text to diminish the false recognition rates from statistical handwritten text images. Additionally, they combined the proposed approach with asynchronous cellular automata, which helped identify whether a person has written text in different directions and scales.…”
Section: Related Workmentioning
confidence: 99%