Fingerprint recognition using morphological image processing

Faradila, Rahmatan (2009) Fingerprint recognition using morphological image processing. Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang.

[img]
Preview
Pdf
Fingerprint recognition using morphological image.PDF - Accepted Version

Download (5MB) | Preview

Abstract

Fingerprint recognition using Morphological image processing method in fingerprint identification: The first approach, which is fingerprint pre-processing were includes filtering, enhancement, binarization and thinning image using morphological image processing method. And the second approach, which is uses histogram matching fingerprint for the output fingerprint result. Current fingerprint recognition systems are that they require a large amount of computational resources, especially when operating in the identification mode. For limiting the costs of identification case and make the result for identification by using morphological method very smooth and accuracy. Fingerprint image enhancement is to make the image clearer for easy further operations. So, this project using morphological image processing to enhance the fingerprint image and using histogram matching method for the output. The project is developed using Matrix Laboratory (MATLAB) programming.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Electrical Engineering (Control and instrumentation)) -- Universiti Malaysia Pahang - 2009, SV: MADAM NOR FARIZAN BINTI ZAKARIA.
Uncontrolled Keywords: Optical pattern recognition; Fingerprints -- Identification; Biometry -- Data processing
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Sufarini Mohd Sudin
Date Deposited: 31 May 2021 08:23
Last Modified: 31 May 2021 08:23
URI: http://umpir.ump.edu.my/id/eprint/31489
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item