Fingerprints Authentication Using Grayscale Fractal Dimension
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Fingerprints Authentication Using Grayscale Fractal Dimension |
| 2. | Creator | Author's name, affiliation, country | Nadia. M. G. Alsaidi; Department of Applied Sciences, University of Technology, IRAQ; Iraq |
| 2. | Creator | Author's name, affiliation, country | Arkan J. Mohammed; Department of Mathematics, College of Science, Mustansiriyah University, IRAQ; Iraq |
| 2. | Creator | Author's name, affiliation, country | Wael J. Abdulaal; Department of Applied Sciences, University of Technology, IRAQ; Iraq |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | Fractal Dimension, Box Counting, Fingerprint, Authentication |
| 4. | Description | Abstract | Characterizing of visual objects is an important role in pattern recognition that can be performed through shape analysis. Several approaches have been introduced to extract relevant information of a shape. The complexity of the shape is the most widely used approach for this purpose where fractal dimension and generalized fractal dimension are methodologies used to estimate the complexity of the shapes. The box counting dimension is one of the methods that used to estimate fractal dimension. It is estimated basically to describe the self-similarity in objects. A lot of objects have the self-similarity; fingerprint is one of those objects where the generalized box counting dimension is used for recognizing of the fingerprints to be utilized for authentication process. A new fractal dimension method is proposed in this paper. It is verified by the experiment on a set of natural texture images to show its efficiency and accuracy, and a satisfactory result is found. It also offers promising performance when it is applied for fingerprint recognition. |
| 5. | Publisher | Organizing agency, location | Mustansiriyah University |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2019-03-10 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/627 |
| 10. | Identifier | Digital Object Identifier (DOI) | http://dx.doi.org/10.23851/mjs.v29i3.627 |
| 11. | Source | Title; vol., no. (year) | Al-Mustansiriyah Journal of Science; Vol 29, No 3 (2018): ICSSSA 2018 Conference Issue |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
Copyright (c) 2019 Al-Mustansiriyah Journal of Science This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |