Gabor Filter and Canny Edge Detection for Ear Biometrics Identification

Doni Rubiagatra; Adhi Dharma Wibawa; Marianus Yakobus Lili Lejap; Bima Gerry Pratama; Rizky Oktavian

doi:10.1109/ISITIA59021.2023.10220442

Gabor Filter and Canny Edge Detection for Ear Biometrics Identification

Doni Rubiagatra
, Adhi Dharma Wibawa
, Marianus Yakobus Lili Lejap
, Bima Gerry Pratama
, Rizky Oktavian

Institut Teknologi Sepuluh Nopember

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

2 Citations (Scopus)

Abstract

Ear biometrics, the use of the unique physical characteristics of the ear for identification purposes, has gained increasing attention in recent years due to its high level of accuracy and stability. However, extracting the biometric features of the ear from images can be challenging due to variations in ear shape and size across different populations. This study proposes a new approach for ear biometric identification using Gabor filters and Canny edge detection. Gabor filters are a type of wavelet that can be used to extract texture and orientation information from images, while Canny edge detection is a widely used edge detection algorithm that can accurately identify object boundaries. Our experiments on a small dataset of ear images show that our proposed method gives great results of accuracy and robustness. The results of our study demonstrate the potential of Gabor filters and Canny edge detection for improving the performance of ear biometric systems.

Original language	English
Title of host publication	2023 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publication	Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	564-569
Number of pages	6
ISBN (Electronic)	9798350313956
DOIs	https://doi.org/10.1109/ISITIA59021.2023.10220442
Publication status	Published - 2023
Event	24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023 - Hybrid, Surabaya, Indonesia Duration: 26 Jul 2023 → 27 Jul 2023

Publication series

Name	2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding

Conference

Conference	24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Country/Territory	Indonesia
City	Hybrid, Surabaya
Period	26/07/23 → 27/07/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Canny Edge
Gabor filter
biometrics
ear

Access to Document

10.1109/ISITIA59021.2023.10220442

Cite this

Rubiagatra, D., Wibawa, A. D., Lejap, M. Y. L., Pratama, B. G., & Oktavian, R. (2023). Gabor Filter and Canny Edge Detection for Ear Biometrics Identification. In 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding (pp. 564-569). (2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA59021.2023.10220442

Rubiagatra, Doni ; Wibawa, Adhi Dharma ; Lejap, Marianus Yakobus Lili et al. / Gabor Filter and Canny Edge Detection for Ear Biometrics Identification. 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 564-569 (2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding).

@inproceedings{f0e184cffc9447bba2b50f7ad2e18577,

title = "Gabor Filter and Canny Edge Detection for Ear Biometrics Identification",

abstract = "Ear biometrics, the use of the unique physical characteristics of the ear for identification purposes, has gained increasing attention in recent years due to its high level of accuracy and stability. However, extracting the biometric features of the ear from images can be challenging due to variations in ear shape and size across different populations. This study proposes a new approach for ear biometric identification using Gabor filters and Canny edge detection. Gabor filters are a type of wavelet that can be used to extract texture and orientation information from images, while Canny edge detection is a widely used edge detection algorithm that can accurately identify object boundaries. Our experiments on a small dataset of ear images show that our proposed method gives great results of accuracy and robustness. The results of our study demonstrate the potential of Gabor filters and Canny edge detection for improving the performance of ear biometric systems.",

keywords = "Canny Edge, Gabor filter, biometrics, ear",

author = "Doni Rubiagatra and Wibawa, \{Adhi Dharma\} and Lejap, \{Marianus Yakobus Lili\} and Pratama, \{Bima Gerry\} and Rizky Oktavian",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023 ; Conference date: 26-07-2023 Through 27-07-2023",

year = "2023",

doi = "10.1109/ISITIA59021.2023.10220442",

language = "English",

series = "2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding",

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booktitle = "2023 International Seminar on Intelligent Technology and Its Applications",

address = "United States",

}

Rubiagatra, D, Wibawa, AD, Lejap, MYL, Pratama, BG & Oktavian, R 2023, Gabor Filter and Canny Edge Detection for Ear Biometrics Identification. in 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding. 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding, Institute of Electrical and Electronics Engineers Inc., pp. 564-569, 24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023, Hybrid, Surabaya, Indonesia, 26/07/23. https://doi.org/10.1109/ISITIA59021.2023.10220442

Gabor Filter and Canny Edge Detection for Ear Biometrics Identification. / Rubiagatra, Doni; Wibawa, Adhi Dharma; Lejap, Marianus Yakobus Lili et al.
2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2023. p. 564-569 (2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding).

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

TY - GEN

T1 - Gabor Filter and Canny Edge Detection for Ear Biometrics Identification

AU - Rubiagatra, Doni

AU - Wibawa, Adhi Dharma

AU - Lejap, Marianus Yakobus Lili

AU - Pratama, Bima Gerry

AU - Oktavian, Rizky

PY - 2023

Y1 - 2023

N2 - Ear biometrics, the use of the unique physical characteristics of the ear for identification purposes, has gained increasing attention in recent years due to its high level of accuracy and stability. However, extracting the biometric features of the ear from images can be challenging due to variations in ear shape and size across different populations. This study proposes a new approach for ear biometric identification using Gabor filters and Canny edge detection. Gabor filters are a type of wavelet that can be used to extract texture and orientation information from images, while Canny edge detection is a widely used edge detection algorithm that can accurately identify object boundaries. Our experiments on a small dataset of ear images show that our proposed method gives great results of accuracy and robustness. The results of our study demonstrate the potential of Gabor filters and Canny edge detection for improving the performance of ear biometric systems.

AB - Ear biometrics, the use of the unique physical characteristics of the ear for identification purposes, has gained increasing attention in recent years due to its high level of accuracy and stability. However, extracting the biometric features of the ear from images can be challenging due to variations in ear shape and size across different populations. This study proposes a new approach for ear biometric identification using Gabor filters and Canny edge detection. Gabor filters are a type of wavelet that can be used to extract texture and orientation information from images, while Canny edge detection is a widely used edge detection algorithm that can accurately identify object boundaries. Our experiments on a small dataset of ear images show that our proposed method gives great results of accuracy and robustness. The results of our study demonstrate the potential of Gabor filters and Canny edge detection for improving the performance of ear biometric systems.

KW - Canny Edge

KW - Gabor filter

KW - biometrics

KW - ear

UR - https://www.scopus.com/pages/publications/85171157243

U2 - 10.1109/ISITIA59021.2023.10220442

DO - 10.1109/ISITIA59021.2023.10220442

M3 - Conference contribution

AN - SCOPUS:85171157243

T3 - 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding

SP - 564

EP - 569

BT - 2023 International Seminar on Intelligent Technology and Its Applications

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023

Y2 - 26 July 2023 through 27 July 2023

ER -

Rubiagatra D, Wibawa AD, Lejap MYL, Pratama BG, Oktavian R. Gabor Filter and Canny Edge Detection for Ear Biometrics Identification. In 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2023. p. 564-569. (2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding). doi: 10.1109/ISITIA59021.2023.10220442

Gabor Filter and Canny Edge Detection for Ear Biometrics Identification

Abstract

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UN SDGs

Keywords

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