The effect of optimizers in fingerprint classification model utilizing deep learning
Fingerprint is the most popular way to identify persons, it is assumed a unique identity, which enable us to return the record of specific person through his fingerprint, and could be useful in many applications; such as military applications, social applications, criminal applications... etc. In th...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2020-11-01.
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| Online Access: | Get fulltext |
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| LEADER | 01970 am a22002893u 4500 | ||
|---|---|---|---|
| 001 | ijeecs21767_14307 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a F. Alkhalid, Farah |e author |
| 100 | 1 | 0 | |e contributor |
| 245 | 0 | 0 | |a The effect of optimizers in fingerprint classification model utilizing deep learning |
| 260 | |b Institute of Advanced Engineering and Science, |c 2020-11-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21767 | ||
| 520 | |a Fingerprint is the most popular way to identify persons, it is assumed a unique identity, which enable us to return the record of specific person through his fingerprint, and could be useful in many applications; such as military applications, social applications, criminal applications... etc. In this paper, the study of a new model based deep learning is suggested. The focus is directed on how to enhance the training model with the increase of the testing accuracy by applying four scenarios and comparing among them. The effects of two dedicated optimizers are shown and their contrast enhancement is tested. The results prove that the testing accuracy is 85.61% for "Adadelta" optimizer, whereas for "Adam" optimizer, it is 91.73%. | ||
| 540 | |a Copyright (c) 2020 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 690 | |a Adadelta optimizer; Adam optimizer; CNN; Deep learning; Histogram equalization | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 20, No 2: November 2020; 1098-1102 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v20.i2 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21767/14307 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21767/14307 |z Get fulltext |