Avuclu, EmreElen, AbdullahOzcifci, Ayhan2024-09-292024-09-2920211302-09002147-9429https://doi.org/10.2339/politeknik.665898https://search.trdizin.gov.tr/tr/yayin/detay/455227https://hdl.handle.net/20.500.14619/7096Aim The aim of this study is to develop an algorithm that performs automatic and dynamic image segmentation. Design & Methodology A fingerprint database with a total of 80 images and 10 different classes was used. Originality The features of the images were extracted with the feature extraction method originally developed. Findings The 300x300 images were divided into 25x25 sub-images and the feature vector was obtained. Conclusion The developed segmentation and feature extraction algorithm can be applied to any image of equal size. Declaration of Ethical Standards The author(s) of this article declare that the materials and methods used in this study do not require ethical committee permission and/or legal-special permission.eninfo:eu-repo/semantics/openAccessImage segmentationfeature extractionfingerprint imagesArticle10.2339/politeknik.665898988398345522724WOS:000740442600022N/A