Edy, Winarno and Setyawan, Wibisono and Wiwien, Hadikurniawati Edge Detection and Grey Level Co-Occurrence Matrix (GLCM) Algorithms for Fingerprint Identification. ICITech.
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Abstract
The fingerprint identification system is a recognition process by measuring the characteristics on human fingers and then comparing them with those in the database. The purpose of this study is to create a system for fingerE3ts recognition using the edge detection method and Grey Level Co-occurrence Matrix (GLCM). The method used in this fingerprint recognition research is texture analysis. Pre¬processing was performed with edge detection and feature extraction with GLCM method. First, the fingerprint is captured usflthe fingerprint scanner. Then the fingerprint image was extracted using the Grey Level Co-occurrence Matrix (GLCM) feature. The features obtained are elalrgy, contrast, homogeneity and correlation. The final result of the fingerprint identification system is the success of displaying the image with the identity data of the fingerprint owner. Using two methods, fingerprint identification accuracy of 83% was achieved.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QC Physics |
| Faculty / Institution: | Fakultas Teknologi Informasi |
| Depositing User: | Fakultas Ekonomi |
| Date Deposited: | 07 Oct 2022 02:50 |
| Last Modified: | 07 Oct 2022 03:49 |
| URI: | https://eprints.unisbank.ac.id/id/eprint/8806 |
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