Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images

Fingerprint had been used to identify a person due to its uniqueness and unchangeable throughout life. However, latent fingerprint acquisition normally being performed on uneven or noisy surface with poor contrast, causing fingerprint minutiae point extracted appear to be inaccurate and affect the r...

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Main Author:	Chong, Bei Wei
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK7800-8360 Electronics
Online Access:	http://eprints.usm.my/41213/1/Chong_Bei_Wei_24_Pages.pdf
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id	my-usm-ep.41213
record_format	uketd_dc
spelling	my-usm-ep.412132018-07-31T07:09:16Z Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images 2015 Chong, Bei Wei TK7800-8360 Electronics Fingerprint had been used to identify a person due to its uniqueness and unchangeable throughout life. However, latent fingerprint acquisition normally being performed on uneven or noisy surface with poor contrast, causing fingerprint minutiae point extracted appear to be inaccurate and affect the result of fingerprint matching. Thus, latent fingerprint required image to be pre-process and enhance before latent search. In order to increase latent matching accuracy, geometry rectification is needed to correct distortion in fingerprint images due to uneven surfaces. This research will investigate and develop flattening algorithm that can be adapted to latent fingerprint images on cylindrical surface. The boundary of an image is required to detect the curvature of an image that need to be flattened. Boundary of interested area can be acquired using a predefined algorithm or define by user using interactive drawing. The flattening algorithm required mapping from cylindrical coordinate to image coordinate. Since curved image appears to be rectangular shape, parabolic approximation and ellipse approximation are being used to design algorithms for flattening. Experimental results prove that algorithm that applies ellipse equation to flatten fingerprint images able to increase the quality of the minutiae. However, measurement results for horizontal axes shows that the distortion in horizontal axis is not being well taken care of. In summary, both algorithms developed able to flatten curved latent fingerprint images with the assumption that image that needs to be flattened is vertical cylindrical shape and boundary of cylinder must be detectable. Algorithm that applies ellipse approximation provides better performance as compared with the algorithm that developed based on parabolic approximation. 2015 Thesis http://eprints.usm.my/41213/ http://eprints.usm.my/41213/1/Chong_Bei_Wei_24_Pages.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK7800-8360 Electronics
spellingShingle	TK7800-8360 Electronics Chong, Bei Wei Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images
description	Fingerprint had been used to identify a person due to its uniqueness and unchangeable throughout life. However, latent fingerprint acquisition normally being performed on uneven or noisy surface with poor contrast, causing fingerprint minutiae point extracted appear to be inaccurate and affect the result of fingerprint matching. Thus, latent fingerprint required image to be pre-process and enhance before latent search. In order to increase latent matching accuracy, geometry rectification is needed to correct distortion in fingerprint images due to uneven surfaces. This research will investigate and develop flattening algorithm that can be adapted to latent fingerprint images on cylindrical surface. The boundary of an image is required to detect the curvature of an image that need to be flattened. Boundary of interested area can be acquired using a predefined algorithm or define by user using interactive drawing. The flattening algorithm required mapping from cylindrical coordinate to image coordinate. Since curved image appears to be rectangular shape, parabolic approximation and ellipse approximation are being used to design algorithms for flattening. Experimental results prove that algorithm that applies ellipse equation to flatten fingerprint images able to increase the quality of the minutiae. However, measurement results for horizontal axes shows that the distortion in horizontal axis is not being well taken care of. In summary, both algorithms developed able to flatten curved latent fingerprint images with the assumption that image that needs to be flattened is vertical cylindrical shape and boundary of cylinder must be detectable. Algorithm that applies ellipse approximation provides better performance as compared with the algorithm that developed based on parabolic approximation.
format	Thesis
qualification_level	Master's degree
author	Chong, Bei Wei
author_facet	Chong, Bei Wei
author_sort	Chong, Bei Wei
title	Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images
title_short	Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images
title_full	Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images
title_fullStr	Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images
title_full_unstemmed	Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images
title_sort	investigation and development of flattening algorithms for curved latent fingerprint images
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
publishDate	2015
url	http://eprints.usm.my/41213/1/Chong_Bei_Wei_24_Pages.pdf
_version_	1747820888786468864

Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images

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