Date of Award
Summer 7-1999
Document Type
Thesis
Degree Name
Master of Electrical Engineering (MEE)
Department
Electrical Engineering
First Advisor
Dr. Edward Doering
Second Advisor
Dr. Michael Mcinerney
Third Advisor
Dr. Bruce Black
Abstract
This thesis describes a new approach for fingerprint identification that will be shift and rotation independent. Detailed descriptions of directional filtering, foreground and background segmentation, feature extraction, and matching based on structural correlation are the main topics of this thesis. The fingerprint identification system consists of image preprocessing, feature extraction, and matching which run on a PC platform. The preprocessing step includes histogram equalization, block-based directional filtering, thinning, and adaptive thresholding to enhance the original images for successful feature extraction. The features extracted will be stored in the database for matching. The matching algorithm presented is a modification and improvement of the structural approach. A two-step process of local feature matching and global feature matching guarantees the correct matching results.
Recommended Citation
Wang, Hongyu, "A Translation And Rotation Independent Fingerprint Identification Approach" (1999). Graduate Theses - Electrical and Computer Engineering. 2.
https://scholar.rose-hulman.edu/electrical_grad_theses/2