This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexAn accurate estimated fingerprint orientation fields is a significant step for detection of singular points. Gradient-based methods are frequently used for estimating orientation fields but those methods are sensitive to noise. Fingerprints that perfect quality are seldom. They may be corrupted and degraded due to impression conditions or variations on skin. Enhancement of ridge flows improved the structure of orientation fields and hence increased the number of true singular points thereby conducting the overall performance of the classification process. In this paper, we provided discussion on the technique and implementation to improve local ridge flows segmentation; secondly, identification of noise areas and marking; thirdly, estimation of fingerprint orientation fields using gradient-based method and finally, enhancement of ridge flows using minimum variance of the cross centre block direction in squared gradients. A standard fingerprint database is used for testing of proposed technique to verify the tier of effectivity of algorithm. The experimental results suggest that our enhanced algorithm achieves visibly better ridge flows compare to other methods.
| Published by | Universitas Ahmad Dahlan |
| Journal Name | Perfecting a Video Game with Game Metrics |
| Contact Phone | - |
| Contact Name | Nizirwan Anwar |
| Contact Email | nizirwan.anwar@esaunggul.ac.id |
| Location | Kota yogyakarta, Daerah istimewa yogyakarta INDONESIA |
| Website | TELKOMNIKA| http://journal.uad.ac.id/index.php/TELKOMNIKA| |
| ISSN | ISSN : 16936930, EISSN : 23029293, DOI : http://dx.doi.org/10.12928/telkomnika.v16i3.7209, |
| Core Subject | Science, |
| Meta Subject | Computer Science & IT, |
| Meta Desc | Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of submissions that TELKOMNIKA has received during the last few months the duration of the review process can be up to 14 weeks. Communication Engineering, Computer Network and System Engineering, Computer Science and Information System, Machine Learning, AI and Soft Computing, Signal, Image and Video Processing, Electronics Engineering, Electrical Power Engineering, Power Electronics and Drives, Instrumentation and Control Engineering, Internet of Things (IoT) |
| Penulis | Saparudin, Saparudin , Sulong, Ghazali |
| Publisher Article | Universitas Ahmad Dahlan |
| Subtitle Article | TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 3: September 2016 |
| Scholar Google | http://scholar.google.com/scholar?q=%2Bintitle%3A&… |
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| DOI | https://doi.org/10.12928/telkomnika… |
| DOI Number | DOI: 10.12928/telkomnika.v14i3.3112 |
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