Aplikasi Pengenalan Wajah dengan Metode Adaptive Resonance Theory (ART)
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Published
May 12, 2021
Abstract
Image processing technology (image processing) at this time can be done using a computer. An image that can be recognized by a computer is called a digital image. One application of image processing (image processing) is the field of face detection (face detection). Today's face detection system is one of the most important technologies. Because, facial recognition systems are closely related to security systems, where facial recognition systems can be applied in various places and situations, namely: security system applications, facial disguise recognition applications, and database information system applications for an institution. In this study, we will discuss facial recognition using the Principal Component Analysis (PCA) method and the Artificial Neural Network (ANN) used is Adaptive Resonance Theory (ART). The application used to conduct this research is Matlab.
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How to Cite
Frenza, D. and Mukhaiyar, R. (2021) “Aplikasi Pengenalan Wajah dengan Metode Adaptive Resonance Theory (ART)”, Ranah Research : Journal of Multidisciplinary Research and Development, 3(3), pp. 147-153. doi: 10.38035/rrj.v3i3.392.
References
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Kurnia. R, R. Mukhaiyar. (2021). Implementasi Metode Fast Fourier Transform pada Sistem Monitoring Voltage Flicker. Ranah Research: Journal of Multidisciplinary Research and Development, vol.3, iss. 3, pp. 16-26.
Loppies, S. H. D. (2018). IMPLEMENTASI JARINGAN SARAF TIRUAN BACKPROPAGATION UNTUK DETEKSI WAJAH DALAM CITRA DIGITAL. Musamus Journal of Technology & Information, 1(02), 1-7.
M. Syukri, R. Mukhaiyar. (2021). Alat Pendeteksi Formalin Pada Makanan Menggunakan IoT”, Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, iss. 2, pp. 56-64.
M.S. Yoski, R. Mukhaiyar. (2020). Prototipe Robot Pembersih Lantai Berbasis Mikrokontroller dengan Sensor Ultrasonik. JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp. 158-161.
Nuccio, S. (1997, May). A digital instrument for measurement of voltage flicker. In IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings (Vol. 1, pp. 281-284). IEEE.
Nurtantio Andono, P., Sujono, T., Muljono. PENGOLAHAN CITRA DIGITAL. (2017). Penerbit ANDI (Anggota IKAPI).
Pratiwi, D. E., & Harjoko, A. (2013). Implementasi Pengenalan Wajah Menggunakan PCA (Principal Component Analysis). IJEIS (International Journal of Electronics and Instrumentation Systems), 3(2), 175-184
R. Mukhaiyar, R. Safitri. (2019). Implementation of Artificial Neural Network: Back Propagation Method on Face Recognition System. Proceedings 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, November 14, 2019.
R. Mukhaiyar, S.S. Dlay, W.L. Woo. (2014). Alternative Approach in Generating Cancellable Fingerprint by Using Matrices Operations”, Proceeding of ELMAR-2014, pp. 1-4.
R. Mukhaiyar, Syawaludin. (2019). Security System Design on Feature Information of Biometric Fingeprint using Kronecker Product Operation and Elementary Row Operation. Proceedings of 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, November 14, 2019.
R. Mukhaiyar. (2010). Klasifikasi Penggunaan Lahan dari Data Remote Sensing. Jurnal Teknologi Informasi dan Pendidikan, vol. 2, iss. 1, pp. 1-16.
R. Mukhaiyar. (2011). Quality of Non-Point Source Pollutant Identification using Digital Image and Remote Sensing Image. International Journal of Computer, Electrical, Automation Control, and Information Engineering, World Academy of Science, Engineering, and Technology, vol. 5, iss. 7, pp. 753-758.
R. Mukhaiyar. (2015). Cancellable Biometric using Matrix Approaches. Theses in Newcastle Univesity, UK.
R. Mukhaiyar. (2017). Analysis of Galton-Henry Classification Method for Fingerprint Database FVC 2002 and 2004. International Journal of GEOMATE, vol. 12, iss. 40, pp. 118-123.
R. Mukhaiyar. (2017). Core-Point, Ridge-Frequency, and Ridge-Orientation Density Roles in Selecting Region of Interest of Fingerprint. International Journal of GEOMATE, vol. 12, iss. 30, pp. 146-150.
R. Mukhaiyar. (2017). Digital Image dan Remote Sensing Image as a Data for an Identification of a Quality of a Non-Point Source Pollutant in Ciliwung River, Indonesia. International Journal of GEOMATE, vol. 12, iss. 32, pp. 142-151
R. Mukhaiyar. (2017). The Comparation of Back Propagation Method and Kohon Method for Gas Identification. International Journal of GEOMATE, vol. 13, iss. 38, pp. 97-103.
R. Mukhaiyar. (2017). The Comparation of Back Propagation Method and Kohon Method for Gas Identification. International Journal of GEOMATE, vol. 13, iss. 38, pp. 97-103.
R. Mukhaiyar. (2018). Generating a Cancellable Fingerprint using Matrices Operations and Its Fingerprint Processing Requirements”, Asian Social Sciences, vol. 14, no. 6, pp. 1-20.
R. Mukhaiyar. (2019). Geographic Information System and Image Classification of Remote Sensing Synergy for Land-Use Identification. International Journal of GEOMATE, vol. 16, iss. 53, pp. 245-251.
R.C.J. Wydmann, R. Mukhaiyar. (2020). Augmented Reality dalam Penggunaan Alat Rumah Tanggal Berbasis Internet of Things. JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp.84-91.
R.F. Ramadhan, R. Mukhaiyar. (2020). Penggunaan Database Mysql dengan Interface PhpMyAdmin sebagai Pengontrolan Smarthome Berbasis Raspberry Pi. JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp. 129-134.
S.M. Liusmar, R. Mukhaiyar. (2020). Perancangan Sistem Otomasi Penggunaan Barcode Scanner Pada Trolley Berbasis Arduino Mega 2560", VoteTEKNIKA: Jurnal Vocational Teknik Elektronika dan Informatika, vol. 8, no. 2, pp. 43-49.
Sianipar, RH. Dasar Pemrosesan CITRA DIGITAL dengan MATLAB. (2018). Penerbit ANDI (Anggota IKAPI).
Kurnia. R, R. Mukhaiyar. (2021). Implementasi Metode Fast Fourier Transform pada Sistem Monitoring Voltage Flicker. Ranah Research: Journal of Multidisciplinary Research and Development, vol.3, iss. 3, pp. 16-26.
Loppies, S. H. D. (2018). IMPLEMENTASI JARINGAN SARAF TIRUAN BACKPROPAGATION UNTUK DETEKSI WAJAH DALAM CITRA DIGITAL. Musamus Journal of Technology & Information, 1(02), 1-7.
M. Syukri, R. Mukhaiyar. (2021). Alat Pendeteksi Formalin Pada Makanan Menggunakan IoT”, Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, iss. 2, pp. 56-64.
M.S. Yoski, R. Mukhaiyar. (2020). Prototipe Robot Pembersih Lantai Berbasis Mikrokontroller dengan Sensor Ultrasonik. JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp. 158-161.
Nuccio, S. (1997, May). A digital instrument for measurement of voltage flicker. In IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings (Vol. 1, pp. 281-284). IEEE.
Nurtantio Andono, P., Sujono, T., Muljono. PENGOLAHAN CITRA DIGITAL. (2017). Penerbit ANDI (Anggota IKAPI).
Pratiwi, D. E., & Harjoko, A. (2013). Implementasi Pengenalan Wajah Menggunakan PCA (Principal Component Analysis). IJEIS (International Journal of Electronics and Instrumentation Systems), 3(2), 175-184
R. Mukhaiyar, R. Safitri. (2019). Implementation of Artificial Neural Network: Back Propagation Method on Face Recognition System. Proceedings 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, November 14, 2019.
R. Mukhaiyar, S.S. Dlay, W.L. Woo. (2014). Alternative Approach in Generating Cancellable Fingerprint by Using Matrices Operations”, Proceeding of ELMAR-2014, pp. 1-4.
R. Mukhaiyar, Syawaludin. (2019). Security System Design on Feature Information of Biometric Fingeprint using Kronecker Product Operation and Elementary Row Operation. Proceedings of 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, November 14, 2019.
R. Mukhaiyar. (2010). Klasifikasi Penggunaan Lahan dari Data Remote Sensing. Jurnal Teknologi Informasi dan Pendidikan, vol. 2, iss. 1, pp. 1-16.
R. Mukhaiyar. (2011). Quality of Non-Point Source Pollutant Identification using Digital Image and Remote Sensing Image. International Journal of Computer, Electrical, Automation Control, and Information Engineering, World Academy of Science, Engineering, and Technology, vol. 5, iss. 7, pp. 753-758.
R. Mukhaiyar. (2015). Cancellable Biometric using Matrix Approaches. Theses in Newcastle Univesity, UK.
R. Mukhaiyar. (2017). Analysis of Galton-Henry Classification Method for Fingerprint Database FVC 2002 and 2004. International Journal of GEOMATE, vol. 12, iss. 40, pp. 118-123.
R. Mukhaiyar. (2017). Core-Point, Ridge-Frequency, and Ridge-Orientation Density Roles in Selecting Region of Interest of Fingerprint. International Journal of GEOMATE, vol. 12, iss. 30, pp. 146-150.
R. Mukhaiyar. (2017). Digital Image dan Remote Sensing Image as a Data for an Identification of a Quality of a Non-Point Source Pollutant in Ciliwung River, Indonesia. International Journal of GEOMATE, vol. 12, iss. 32, pp. 142-151
R. Mukhaiyar. (2017). The Comparation of Back Propagation Method and Kohon Method for Gas Identification. International Journal of GEOMATE, vol. 13, iss. 38, pp. 97-103.
R. Mukhaiyar. (2017). The Comparation of Back Propagation Method and Kohon Method for Gas Identification. International Journal of GEOMATE, vol. 13, iss. 38, pp. 97-103.
R. Mukhaiyar. (2018). Generating a Cancellable Fingerprint using Matrices Operations and Its Fingerprint Processing Requirements”, Asian Social Sciences, vol. 14, no. 6, pp. 1-20.
R. Mukhaiyar. (2019). Geographic Information System and Image Classification of Remote Sensing Synergy for Land-Use Identification. International Journal of GEOMATE, vol. 16, iss. 53, pp. 245-251.
R.C.J. Wydmann, R. Mukhaiyar. (2020). Augmented Reality dalam Penggunaan Alat Rumah Tanggal Berbasis Internet of Things. JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp.84-91.
R.F. Ramadhan, R. Mukhaiyar. (2020). Penggunaan Database Mysql dengan Interface PhpMyAdmin sebagai Pengontrolan Smarthome Berbasis Raspberry Pi. JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp. 129-134.
S.M. Liusmar, R. Mukhaiyar. (2020). Perancangan Sistem Otomasi Penggunaan Barcode Scanner Pada Trolley Berbasis Arduino Mega 2560", VoteTEKNIKA: Jurnal Vocational Teknik Elektronika dan Informatika, vol. 8, no. 2, pp. 43-49.
Sianipar, RH. Dasar Pemrosesan CITRA DIGITAL dengan MATLAB. (2018). Penerbit ANDI (Anggota IKAPI).