Compressing of Fingerprint Images by Means of Fractals Feature

Author

Jampour, Mahdi ; Shojaei, Hamid ; Ashourzadeh, Maryam ; Yaghoobi, Mahdi

Author_Institution

Comput. Eng. Dept., Kerman Inst. of Higher Educ., Kerman, Iran

fYear

2009

fDate

28-30 Dec. 2009

Firstpage

18

Lastpage

21

Abstract

Today one of the most applicable methods of identity evaluation is identifying based on fingerprint. Now days, various methods and strategies for identifying fingerprint among modern identifying methods becomes common and usual; but on of the remarkable points is about the volume of saving huge amount of fingerprint images into databases which is so effective on this issue. In this article, a desirable compressing method for fingerprint images is presented that is by means of fractals´ specialties. That is, in addition to introducing of 6 basic families for making samples in fingerprint images and by using rotationally geometrical conversion - which is of stable characteristics of fractal images - the encrypting of appropriate parts is done and starts compressing these images. The results from the above method are relatively improved in comparison with other common methods such as JPEG.

Keywords

fingerprint identification; image coding; fingerprint images; fractal images; fractals feature; identity evaluation; image compression; Computer science education; Computer vision; Fingerprint recognition; Fractals; Image coding; Image matching; Machine vision; Mathematics; Snow; Transform coding; Compressing fingerprint images; Fractal; IFS; Self Similarity;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Vision, 2009. ICMV '09. Second International Conference on

Conference_Location

Dubai

Print_ISBN

978-0-7695-3944-7

Electronic_ISBN

978-1-4244-5645-1

Type

conf

DOI

10.1109/ICMV.2009.26

Filename

5381077