Enhanced multiband feature technique for face recognition under varying illumination

Sue Inn Ch'ng; Kah Phooi Seng; Li Minn Ang

doi:10.1109/STUDENT.2010.5687006

Enhanced multiband feature technique for face recognition under varying illumination

Sue Inn Ch'ng
, Kah Phooi Seng
, Li Minn Ang

Materials and Manufacturing Engineering

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

2 Citations (Scopus)

Abstract

This paper presents an enhanced multiband feature technique to improve the performance of face recognition under varying illumination. First, the illumination invariant subbands are extracted using wavelet packet transform and multiband feature selector. Then, histogram equalization is applied to the selected subbands to enhance the contrast of the subband (global). To reduce the noise and enhance the fine details of the facial features (local), an unsharp filter is subsequently applied to the histogram equalized subband. The unsharp filter is created by combining a Gaussian low pass filter and a negative Laplacian operator. The recognition performance of the proposed enhancement scheme is validated against the Yale B database. An improvement in recognition rate has been observed when the enhancement scheme is compared to the original unenhanced subband.

Original language	English
Title of host publication	IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet
Pages	61-64
Number of pages	4
DOIs	https://doi.org/10.1109/STUDENT.2010.5687006
Publication status	Published - 2010
Externally published	Yes
Event	IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Kuala Lumpur, Malaysia Duration: 20 Nov 2010 → 21 Nov 2010

Publication series

Name	IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet

Conference

Conference	IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010
Country/Territory	Malaysia
City	Kuala Lumpur
Period	20/11/10 → 21/11/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Gaussian low pass filter
Laplacian operator
Multi band feature technique
Wavelet packet transform

Access to Document

10.1109/STUDENT.2010.5687006

Cite this

Ch'ng, S. I., Seng, K. P., & Ang, L. M. (2010). Enhanced multiband feature technique for face recognition under varying illumination. In IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet (pp. 61-64). Article 5687006 (IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet). https://doi.org/10.1109/STUDENT.2010.5687006

Ch'ng, Sue Inn ; Seng, Kah Phooi ; Ang, Li Minn. / Enhanced multiband feature technique for face recognition under varying illumination. IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet. 2010. pp. 61-64 (IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet).

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title = "Enhanced multiband feature technique for face recognition under varying illumination",

abstract = "This paper presents an enhanced multiband feature technique to improve the performance of face recognition under varying illumination. First, the illumination invariant subbands are extracted using wavelet packet transform and multiband feature selector. Then, histogram equalization is applied to the selected subbands to enhance the contrast of the subband (global). To reduce the noise and enhance the fine details of the facial features (local), an unsharp filter is subsequently applied to the histogram equalized subband. The unsharp filter is created by combining a Gaussian low pass filter and a negative Laplacian operator. The recognition performance of the proposed enhancement scheme is validated against the Yale B database. An improvement in recognition rate has been observed when the enhancement scheme is compared to the original unenhanced subband.",

keywords = "Gaussian low pass filter, Laplacian operator, Multi band feature technique, Wavelet packet transform",

author = "Ch'ng, \{Sue Inn\} and Seng, \{Kah Phooi\} and Ang, \{Li Minn\}",

year = "2010",

doi = "10.1109/STUDENT.2010.5687006",

language = "English",

isbn = "9781424475032",

series = "IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet",

pages = "61--64",

booktitle = "IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet",

note = "IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 ; Conference date: 20-11-2010 Through 21-11-2010",

}

Ch'ng, SI, Seng, KP & Ang, LM 2010, Enhanced multiband feature technique for face recognition under varying illumination. in IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet., 5687006, IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet, pp. 61-64, IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010, Kuala Lumpur, Malaysia, 20/11/10. https://doi.org/10.1109/STUDENT.2010.5687006

Enhanced multiband feature technique for face recognition under varying illumination. / Ch'ng, Sue Inn; Seng, Kah Phooi; Ang, Li Minn.
IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet. 2010. p. 61-64 5687006 (IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet).

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

TY - GEN

T1 - Enhanced multiband feature technique for face recognition under varying illumination

AU - Ch'ng, Sue Inn

AU - Seng, Kah Phooi

AU - Ang, Li Minn

PY - 2010

Y1 - 2010

N2 - This paper presents an enhanced multiband feature technique to improve the performance of face recognition under varying illumination. First, the illumination invariant subbands are extracted using wavelet packet transform and multiband feature selector. Then, histogram equalization is applied to the selected subbands to enhance the contrast of the subband (global). To reduce the noise and enhance the fine details of the facial features (local), an unsharp filter is subsequently applied to the histogram equalized subband. The unsharp filter is created by combining a Gaussian low pass filter and a negative Laplacian operator. The recognition performance of the proposed enhancement scheme is validated against the Yale B database. An improvement in recognition rate has been observed when the enhancement scheme is compared to the original unenhanced subband.

AB - This paper presents an enhanced multiband feature technique to improve the performance of face recognition under varying illumination. First, the illumination invariant subbands are extracted using wavelet packet transform and multiband feature selector. Then, histogram equalization is applied to the selected subbands to enhance the contrast of the subband (global). To reduce the noise and enhance the fine details of the facial features (local), an unsharp filter is subsequently applied to the histogram equalized subband. The unsharp filter is created by combining a Gaussian low pass filter and a negative Laplacian operator. The recognition performance of the proposed enhancement scheme is validated against the Yale B database. An improvement in recognition rate has been observed when the enhancement scheme is compared to the original unenhanced subband.

KW - Gaussian low pass filter

KW - Laplacian operator

KW - Multi band feature technique

KW - Wavelet packet transform

UR - https://www.scopus.com/pages/publications/79851469431

U2 - 10.1109/STUDENT.2010.5687006

DO - 10.1109/STUDENT.2010.5687006

M3 - Conference Proceeding

AN - SCOPUS:79851469431

SN - 9781424475032

T3 - IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet

SP - 61

EP - 64

BT - IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet

T2 - IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010

Y2 - 20 November 2010 through 21 November 2010

ER -

Ch'ng SI, Seng KP, Ang LM. Enhanced multiband feature technique for face recognition under varying illumination. In IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet. 2010. p. 61-64. 5687006. (IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet). doi: 10.1109/STUDENT.2010.5687006

Enhanced multiband feature technique for face recognition under varying illumination

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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