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Bag-of-visual-words model for fingerprint classification
Joint Authors
Andono, Pulung
Supriyanto, Catur
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 1 (31 Jan. 2018), pp.37-43, 7 p.
Publisher
Publication Date
2018-01-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, fingerprint classification based on Bag-of-Visual-Word (BoVW) model is proposed.
In BoVW, an image is represented as a vector of occurrence count of features or words.
In order to extract the features, we use Speeded-Up Robust Feature (SURF) as the features descriptor, and Contrast Limited Adaptive Histogram Equalization (CLAHE) to enhance the quality of fingerprint images.
Most of the fingerprint research areas focus on Henry’s classification instead of individual person as the target of classification.
We present the evaluation of clustering algorithms such as k-means, fuzzy c-means, k-medoid and hierarchical agglomerative clustering in BoVW model for FVC2004 fingerprint dataset.
Our experiment shows that k-means outperforms than other clustering algorithms.
The experimental result on fingerprint classification obtains the performance of 90% by applying k-means as features descriptor clustering.
The results show that CLAHE improves the performance of fingerprint classification.
The using of public dataset in this paper makes opportunities to conduct the future research.
American Psychological Association (APA)
Andono, Pulung& Supriyanto, Catur. 2018. Bag-of-visual-words model for fingerprint classification. The International Arab Journal of Information Technology،Vol. 15, no. 1, pp.37-43.
https://search.emarefa.net/detail/BIM-811835
Modern Language Association (MLA)
Andono, Pulung& Supriyanto, Catur. Bag-of-visual-words model for fingerprint classification. The International Arab Journal of Information Technology Vol. 15, no. 1 (Jan. 2018), pp.37-43.
https://search.emarefa.net/detail/BIM-811835
American Medical Association (AMA)
Andono, Pulung& Supriyanto, Catur. Bag-of-visual-words model for fingerprint classification. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 1, pp.37-43.
https://search.emarefa.net/detail/BIM-811835
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 43
Record ID
BIM-811835