A New Dynamic Feature Extraction Method for Biometric Images

Home Page
About
Submit A Journal
Submit A Conference
Submit Paper/Book
- Submit a Preprint
- Submit a Book
Contact

Politeknik Dergisi
Volume:24 Issue:3
A New Dynamic Feature Extraction Method for Biometric Images

A New Dynamic Feature Extraction Method for Biometric Images

Authors : Emre AVUÇLU, Abdullah ELEN, Ayhan ÖZÇİFÇİ

Pages : 983-988

Doi:10.2339/politeknik.665898

View : 25 | Download : 12

Publication Date : 2021-09-01

Article Type : Research Paper

Abstract :The image of biometric properties in humans is used in many fields today. Regardless of these features, it is necessary to first translate it into data that the computer understands. In this study, automatic and dynamic image segmentation was performed by using 300x300 fingerprint images. A fingerprint database with a total of 80 images and 10 different classes was used. The features of the images were subtracted from the sub-segments obtained from these images by the feature extraction algorithm that was originally developed. The 300x300 images were divided into 25x25 sub-images and the feature vector was obtained. 144x80 inputs obtained after image segmentation were kept in areas in separate tables. The developed segmentation and feature extraction algorithm can be applied to any image of equal size.
Keywords : Image segmentation, feature extraction, fingerprint images

ORIGINAL ARTICLE URL

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.