Publication:
Palmprint ROI Cropping Based on Enhanced Correlation Coefficient Maximisation Algorithm

cris.author.scopus-author-id 57318516800
cris.author.scopus-author-id 57214845678
cris.author.scopus-author-id 57191698901
cris.author.scopus-author-id 56426995200
cris.author.scopus-author-id 57210745504
cris.author.scopus-author-id 57543004000
dc.contributor.author Khalid N.A.A.
dc.contributor.author Ahmad M.I.
dc.contributor.author Mandeel T.H.
dc.contributor.author Isa M.N.M.
dc.contributor.author Ahmad R.A.R.
dc.contributor.author Al-Dabagh M.Z.N.
dc.date.accessioned 2024-09-29T12:07:06Z
dc.date.available 2024-09-29T12:07:06Z
dc.date.issued 2021-01-01
dc.description.abstract This paper proposes new technique to extract the Region of Interest (ROI) of palmprint biometric image while removing the distortion between images such as translation or rotation during ROI extraction. A similarity measure known as Enhanced Correlation Coefficient (ECC) is used in the proposed approach for better ROI extraction and image alignment, which helps to evaluate and determine the distortion. The objective of image alignment approaches are to find the deformation or transformation that minimizes the incongruities between images. After applying ECC algorithm the Region of Interest (ROI) is extracted from the palmprint by using moore neighbors algorithm, on the other hand, to verify and validate the efficacy of the recommended method the PolyU palmprint dataset II was used. The results show the high accuracy is 99.8% in deriving the ROI and developing a robust ROI cropping system successfully.
dc.identifier.doi 10.1109/ICSET53708.2021.9612436
dc.identifier.isbn [9781665437660]
dc.identifier.scopus 2-s2.0-85123384075
dc.identifier.uri https://hdl.handle.net/20.500.14170/6170
dc.relation.grantno undefined
dc.relation.ispartof 2021 IEEE 11th International Conference on System Engineering and Technology, ICSET 2021 - Proceedings
dc.relation.ispartofseries 2021 IEEE 11th International Conference on System Engineering and Technology, ICSET 2021 - Proceedings
dc.subject ECC algorithm | Moore Neighbor | Palmprint | PolyU palmprint database | ROI
dc.title Palmprint ROI Cropping Based on Enhanced Correlation Coefficient Maximisation Algorithm
dc.type Conference Proceeding
dspace.entity.type Publication
oaire.citation.endPage 274
oaire.citation.startPage 269
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Imam Ja'afar Al-Sadiq University
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Knowledge University
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.scopus-author-id 57318516800
person.identifier.scopus-author-id 57214845678
person.identifier.scopus-author-id 57191698901
person.identifier.scopus-author-id 56426995200
person.identifier.scopus-author-id 57210745504
person.identifier.scopus-author-id 57543004000
Files