Boldson Herdianto Situmorang, Dicki Andrea

Judul	:	Identification of Biometrics Using Fingerprint Minutiae Extraction Based on Crossing Number Method
Abstrak	:	Biometrics based on fingerprint images is a self-recognition technique using fingerprint to represent a person’s identity. Fingerprint is characteristic of someone’s identity precisely and safely because there are no similarities and cannot be falsified. The purpose of this research is to develop a biometrics identification system based on fingerprint images by utilizing a cell phone camera for the acquisition of fingerprint images. This is based on its simplicity because almost everyone has a cell phone so that a person’s identification system based on fingerprint can be used anytime and anywhere. The research was conducted using images generated from cell phone cameras with camera specifications of 2, 5 and 8 mega pixels. The method used in image processing consists of the minutiae crossing number method for the feature extraction process and the minutiae based matching method for the similarity measurement process. The results of the research concluded that cell phone cameras with specifications of 5 and 8 mega pixels can be used for the process of image acquisition in biometrics systems based on fingerprint. The feature extraction process of image results using the minutiae crossing number method and the match measurement process using the minutiae based matching method resulted in an accuracy value of 92.8% on a 5 mega pixel camera and 95.3% on an 8 mega pixel camera. The accuracy value depends on the results of the image acquisition stage, pre-processing, the threshold value in the identification process, and the number of images used in the training data in the database.
Tahun	:	2023	Media Publikasi	:	Jurnal Nasional Terakreditasi B
Kategori	:	Jurnal	No/Vol/Tahun	:	1 / 20 / 2023
ISSN/ISBN	:	1693-7554
PTN/S	:	Universitas Pakuan	Program Studi	:	ILMU KOMPUTER
Bibliography	:	[1] Ahmed Abbood, A., Sulong, G., Peters, S. U. (2014). A review of fingerprint image pre-processing. Jurnal Teknologi (Sciences and Engineering), 69(2), 79–84. https://doi.org/10.11113/jt.v69.3111. [2] Akinyele, A. O., Sarumi, A. J., Abdulsamad, B., Green, O. O. (2018). Fingerprint Verification System Using Combined Minutiae and Cross Correlation Based Matching. 2(2), 16–26. https://doi.org/10.11648/j.ajece.20180202.12. [3] Amengual, J. C., Juan, A., Perez, J. C., Prat, F., Saez, S., Vilar, J. M. (2017). Realtime minutiae extraction in fingerprint images. IEE Conference Publication, 443 pt 2, 871–875. https://doi.org/10.1049/cp:19971021. [4] Ashok, J., Shivashankar, V., Mudiraj, P. V. G. . (2020). An overview of biometrics. International Journal on Computer Science and Engineering, 02(07), 2402–2408. http://scholar.google.com/scholar?hl=en btnG=Searchq=intitle:An+overview+of+biometrics0   [5] Bansal, R., Sehgal, P., Bedi, P. (2018). Minutiae Extraction from Fingerprint Images - a Review. 8(5), 74–85. http://arxiv.org/abs/1201.1422
URL	:	https://journal.unpak.ac.id/index.php/komputasi/article/view/6814/3735