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Online Handwritten Signature Verification System: using Gaussian Mixture Model and Longest Common Sub-Sequences
Shashidhar, Sanda
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Sravya, Amirisetti
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2017 (English)
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Place, publisher, year, edition, pages
2017.
National Category
Signal Processing
Identifiers
URN:
urn:nbn:se:bth-15807
OAI: oai:DiVA.org:bth-15807
DiVA, id:
diva2:1177227
Subject / course
ET2566 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Signal processing
Educational program
ETASX Master of Science Programme in Electrical Engineering with emphasis on Signal Processing
Supervisors
Bartunek, Josef Ström
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Examiners
Johansson, Dr.Sven
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Available from:
2018-01-29
Created:
2018-01-24
Last updated:
2018-01-29
Bibliographically approved
Open Access in DiVA
BTH2018Shashidhar
(1037 kB)
10714 downloads
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FULLTEXT01.pdf
File size
1037 kB
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SHA-512
9ae8db39d19cc440e606696b703d633e9618b4d2fb5b2933a2de2c15c489e668bb59cbff90700c3545b8d24c10375b4d6f15b354419d5ca2b1b75dcd18430c5d
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fulltext
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application/pdf
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Department of Applied Signal Processing
On the subject
Signal Processing
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Total: 10714 downloads
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https://urn.kb.se/resolve?urn=urn:nbn:se:bth-15807
Direct link
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Cite
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modern-language-association-8th-edition
vancouver
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modern-language-association-8th-edition
vancouver
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