Fuzzy Extended Feature Line Classifier for Image Classification

Jeng Shyang Pan; Shu Chuan Chu; Lijun Yan; Linlin Tang

doi:10.1109/IIH-MSP.2015.95

Fuzzy Extended Feature Line Classifier for Image Classification

Jeng Shyang Pan, Shu Chuan Chu, Lijun Yan, Linlin Tang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

A new approach called Fuzzy Extended Feature Line (FEFL) is proposed for image classification in this paper, which retain the advantages and ideas of Nearest Feature Line (NFL). The proposed FEFL use NFL to extend the prototype image sample set. Fuzzy K-Nearest Neighbor is applied for adding the new suitable samples to the prototype sample set. Experimental results on ORL face database and finger-knuckle-print database demonstrate the effectiveness of the proposed algorithm.

Original language	English
Title of host publication	Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015
Publisher	Institute of Electrical and Electronics Engineers
Pages	290-293
Number of pages	4
ISBN (Electronic)	9781509001880
DOIs	https://doi.org/10.1109/IIH-MSP.2015.95
Publication status	Published - 25 Feb 2016
Event	11th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015 - Adelaide, Australia Duration: 23 Sept 2015 → 25 Sept 2015

Publication series

Name	Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015

Conference

Conference	11th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015
Country/Territory	Australia
City	Adelaide
Period	23/09/15 → 25/09/15

Keywords

Fuzzy KNN
Image classification
Nearest feature line

Access to Document

10.1109/IIH-MSP.2015.95Licence: In Copyright

Cite this

Pan, J. S., Chu, S. C., Yan, L., & Tang, L. (2016). Fuzzy Extended Feature Line Classifier for Image Classification. In Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015 (pp. 290-293). Article 7415814 (Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IIH-MSP.2015.95

Pan, Jeng Shyang ; Chu, Shu Chuan ; Yan, Lijun et al. / Fuzzy Extended Feature Line Classifier for Image Classification. Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015. Institute of Electrical and Electronics Engineers, 2016. pp. 290-293 (Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015).

@inproceedings{e31d71533db24d5cae088851640c9c7d,

title = "Fuzzy Extended Feature Line Classifier for Image Classification",

abstract = "A new approach called Fuzzy Extended Feature Line (FEFL) is proposed for image classification in this paper, which retain the advantages and ideas of Nearest Feature Line (NFL). The proposed FEFL use NFL to extend the prototype image sample set. Fuzzy K-Nearest Neighbor is applied for adding the new suitable samples to the prototype sample set. Experimental results on ORL face database and finger-knuckle-print database demonstrate the effectiveness of the proposed algorithm.",

keywords = "Fuzzy KNN, Image classification, Nearest feature line",

author = "Pan, {Jeng Shyang} and Chu, {Shu Chuan} and Lijun Yan and Linlin Tang",

year = "2016",

month = feb,

day = "25",

doi = "10.1109/IIH-MSP.2015.95",

language = "English",

series = "Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "290--293",

booktitle = "Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015",

address = "United States",

note = "11th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015 ; Conference date: 23-09-2015 Through 25-09-2015",

}

Pan, JS, Chu, SC, Yan, L & Tang, L 2016, Fuzzy Extended Feature Line Classifier for Image Classification. in Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015., 7415814, Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015, Institute of Electrical and Electronics Engineers, pp. 290-293, 11th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015, Adelaide, Australia, 23/09/15. https://doi.org/10.1109/IIH-MSP.2015.95

Fuzzy Extended Feature Line Classifier for Image Classification. / Pan, Jeng Shyang; Chu, Shu Chuan; Yan, Lijun et al.
Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015. Institute of Electrical and Electronics Engineers, 2016. p. 290-293 7415814 (Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fuzzy Extended Feature Line Classifier for Image Classification

AU - Pan, Jeng Shyang

AU - Chu, Shu Chuan

AU - Yan, Lijun

AU - Tang, Linlin

PY - 2016/2/25

Y1 - 2016/2/25

N2 - A new approach called Fuzzy Extended Feature Line (FEFL) is proposed for image classification in this paper, which retain the advantages and ideas of Nearest Feature Line (NFL). The proposed FEFL use NFL to extend the prototype image sample set. Fuzzy K-Nearest Neighbor is applied for adding the new suitable samples to the prototype sample set. Experimental results on ORL face database and finger-knuckle-print database demonstrate the effectiveness of the proposed algorithm.

AB - A new approach called Fuzzy Extended Feature Line (FEFL) is proposed for image classification in this paper, which retain the advantages and ideas of Nearest Feature Line (NFL). The proposed FEFL use NFL to extend the prototype image sample set. Fuzzy K-Nearest Neighbor is applied for adding the new suitable samples to the prototype sample set. Experimental results on ORL face database and finger-knuckle-print database demonstrate the effectiveness of the proposed algorithm.

KW - Fuzzy KNN

KW - Image classification

KW - Nearest feature line

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U2 - 10.1109/IIH-MSP.2015.95

DO - 10.1109/IIH-MSP.2015.95

M3 - Conference contribution

AN - SCOPUS:84963831814

T3 - Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015

SP - 290

EP - 293

BT - Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015

PB - Institute of Electrical and Electronics Engineers

T2 - 11th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015

Y2 - 23 September 2015 through 25 September 2015

ER -

Pan JS, Chu SC, Yan L, Tang L. Fuzzy Extended Feature Line Classifier for Image Classification. In Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015. Institute of Electrical and Electronics Engineers. 2016. p. 290-293. 7415814. (Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015). doi: 10.1109/IIH-MSP.2015.95

Fuzzy Extended Feature Line Classifier for Image Classification

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