Autor/Autorin: Abbas Al-Dulaimi Khamael
Miss. Khamael Abbas Al-Dulaimi received her M.Sc. degree in Computer science from College of science, Baghdad University in 2005. The author is working as a lecturer in computer science department in Al-Nahrain university since 2006 in Specialization Multimedia
The fingerprints have been used as a mean for identifying individual for a long time because fingerprints are unique and stay unchanged throughout an dividable lifetime .The present work concerned with study fingerprint recognition system by using image processing techniques. This work is an attempt to recognize fingerprint among many fingerprints that store in small data base by using image processing techniques.These fingerprints must be edge detection by using "Laplacian filter” but this filter considered with all details that do not needed in our work so we need to image smoothing and using mean filter.After this operation finger print image must be converted to binary image because thinning algorithm depended on (0,1) .Then determined End point and all possible Directions (vertical line, horizontal line , diagonal line (95° , 135°) , multi junction then determine the center point and determined core point automatically by using mouse down then find the distance between center point and core point and store the result in file for all fingerprint images.
The fingerprints have been used as a mean for identifying individual for a long time because fingerprints are unique and stay unchanged throughout an dividable lifetime .The present work concerned with study fingerprint recognition system by using image processing techniques. This work is an attempt to recognize fingerprint among many fingerprints that store in small data base by using image processing techniques.These fingerprints must be edge detection by using Laplacian filter but this filter considered with all details that do not needed in our work so we need to image smoothing and using mean filter.After this operation finger print image must be converted to binary image because thinning algorithm depended on (0,1) .Then determined End point and all possible Directions (vertical line, horizontal line , diagonal line (95° , 135°) , multi junction then determine the center point and determined core point automatically by using mouse down then find the distance between center point and core point and store the result in file for all fingerprint images.
Miss. Khamael Abbas Al-Dulaimi received her M.Sc. degree in Computer science from College of science, Baghdad University in 2005. The author is working as a lecturer in computer science department in Al-Nahrain university since 2006 in Specialization Multimedia
Über den Autor
Miss. Khamael Abbas Al-Dulaimi received her M.Sc. degree in Computer science from College of science, Baghdad University in 2005. The author is working as a lecturer in computer science department in Al-Nahrain university since 2006 in Specialization Multimedia
Klappentext
The fingerprints have been used as a mean for identifying individual for a long time because fingerprints are unique and stay unchanged throughout an dividable lifetime .The present work concerned with study fingerprint recognition system by using image processing techniques. This work is an attempt to recognize fingerprint among many fingerprints that store in small data base by using image processing techniques.These fingerprints must be edge detection by using ¿Laplacian filter¿ but this filter considered with all details that do not needed in our work so we need to image smoothing and using mean filter.After this operation finger print image must be converted to binary image because thinning algorithm depended on (0,1) .Then determined End point and all possible Directions (vertical line, horizontal line , diagonal line (95° , 135°) , multi junction then determine the center point and determined core point automatically by using mouse down then find the distance between center point and core point and store the result in file for all fingerprint images.
