Handwritten signature recognition for forgery detection / Izzah Atirah Shammudin

Image enhancement methods are widely used in a variety of picture processing applications where image subjective quality is vital for human interpretation. In any subjective assessment of image quality, contrast is critical. The difference in brightness reflected from two nearby surfaces creates it....

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Bibliographic Details
Main Author:	Shammudin, Izzah Atirah
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Electronic Computers Computer Science Configuration management Code generators
Online Access:	https://ir.uitm.edu.my/id/eprint/59316/2/59316.pdf
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id	my-uitm-ir.59316
record_format	uketd_dc
spelling	my-uitm-ir.593162023-12-18T04:00:38Z Handwritten signature recognition for forgery detection / Izzah Atirah Shammudin 2022 Shammudin, Izzah Atirah Electronic Computers. Computer Science Configuration management Code generators Image enhancement methods are widely used in a variety of picture processing applications where image subjective quality is vital for human interpretation. In any subjective assessment of image quality, contrast is critical. The difference in brightness reflected from two nearby surfaces creates it. Contrast, in particular, is the distinction in visual qualities that makes an item identifiable from other objects as well as the background. Contrast is defined visually by the separation between the colors and brightness of the objects. Several techniques for producing contrast enhancement are being developed and applied to image processing. “Once the image of a handwritten signature for a customer is captured, several pre-processing steps are performed on it including filtration and detection of the signature edges.” (Hussein, Salama, & Ibrahim, 2016) 2022 Thesis https://ir.uitm.edu.my/id/eprint/59316/ https://ir.uitm.edu.my/id/eprint/59316/2/59316.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Darmawan, Mohd Faaizie
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Darmawan, Mohd Faaizie
topic	Electronic Computers Computer Science Configuration management Code generators
spellingShingle	Electronic Computers Computer Science Configuration management Code generators Shammudin, Izzah Atirah Handwritten signature recognition for forgery detection / Izzah Atirah Shammudin
description	Image enhancement methods are widely used in a variety of picture processing applications where image subjective quality is vital for human interpretation. In any subjective assessment of image quality, contrast is critical. The difference in brightness reflected from two nearby surfaces creates it. Contrast, in particular, is the distinction in visual qualities that makes an item identifiable from other objects as well as the background. Contrast is defined visually by the separation between the colors and brightness of the objects. Several techniques for producing contrast enhancement are being developed and applied to image processing. “Once the image of a handwritten signature for a customer is captured, several pre-processing steps are performed on it including filtration and detection of the signature edges.” (Hussein, Salama, & Ibrahim, 2016)
format	Thesis
qualification_level	Bachelor degree
author	Shammudin, Izzah Atirah
author_facet	Shammudin, Izzah Atirah
author_sort	Shammudin, Izzah Atirah
title	Handwritten signature recognition for forgery detection / Izzah Atirah Shammudin
title_short	Handwritten signature recognition for forgery detection / Izzah Atirah Shammudin
title_full	Handwritten signature recognition for forgery detection / Izzah Atirah Shammudin
title_fullStr	Handwritten signature recognition for forgery detection / Izzah Atirah Shammudin
title_full_unstemmed	Handwritten signature recognition for forgery detection / Izzah Atirah Shammudin
title_sort	handwritten signature recognition for forgery detection / izzah atirah shammudin
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/59316/2/59316.pdf
_version_	1794191834176552960

Handwritten signature recognition for forgery detection / Izzah Atirah Shammudin

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