Off-line signature verification using elementary combinations of directional codes from boundary pixels

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Off-line_signature_verification_using_elementary_combinations_of_directional_codes_from_boundary_pixels.pdf(1.45 MB)
Authors
Author (Corporation)
Publication date
2021
Typ of student thesis
Course of study
Collections
Institut für Wirtschaftsinformatik
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Type
01A - Journal article
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Parent work
Neural Computing and Applications
Special issue
DOI of the original publication
https://doi.org/10.1007/s00521-021-05854-6
URI
https://irf.fhnw.ch/handle/11654/43140
https://doi.org/10.26041/fhnw-7105
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Series
Series number
Volume
35
Issue / Number
Pages / Duration
4939-4956
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
London
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Abstract
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Subject (DDC)
330 - Wirtschaft
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ISBN
ISSN
1433-3058
0941-0643
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Hybrid
License
'https://creativecommons.org/licenses/by/4.0/'
Citation
Ajij, M., Pratihar, S., Nayak, S. R., Hanne, T., & Roy, D. S. (2021). Off-line signature verification using elementary combinations of directional codes from boundary pixels. Neural Computing and Applications, 35, 4939–4956. https://doi.org/10.1007/s00521-021-05854-6
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