PERBANDINGAN ALGORITMA EIGENFACE DENGAN LOCAL BINARY PATTERN (LBP) PADA PENGENALAN WAJAH

  • Isnawati Muslihah Institut Teknologi Bisnis AAS Indonesia
  • Helmi Imaduddin Universitas Muhammadiyah Surakarta
Keywords: eigenface, euclidean distance, local binary pattern, face recognition

Abstract

Algorithms for image classification, in this case facial recognition, have been found, one of which is by calculating the distance between facial features such as eyes, nose, ears and lips. However, the image input used is very decisive in the recognition process, especially at the pre-processing stage, especially the feature extraction stage, because facial recognition is very dependent on the feature extraction that is carried out. Color image input in the original image used for recognition input in some studies is not optimal because the features obtained are still very complex. Therefore, in this study, the extraction method with eigenface and LBP is used which converts the original input image into a gray image and then converts it into a matrix form which will then be recognized by the Euclidean distance algorithm. The results obtained were that the algorithm of the LBP method was more optimal with 91% of faces recognized, compared to the eigenface method with 84% of faces recognized at the same size, namely 500×500 pixels

References

Mutiara, Q., & Prasetyo, E. (2019). LBPH pada Sistem Pengenalan Wajah. 18.
Prakasa, E. (2016). Ekstraksi Ciri Tekstur dengan Menggunakan Local Binary Pattern Texture Feature Extraction by Using Local Binary Pattern. 9(2), 45–48.
Simaremare, H. dan Kurniawan, A. (2016). Perbandingan Akurasi Pengenalan Wajah Menggunakan Metode LBPH dan Eigenface dalam Mengenali Tiga Wajah Sekaligus secara Real-Time. Jurnal Sains, Teknologi Dan Industri, vol.14(1), 66–71.
Sugiartha, I. G. R. A., Sudarma, M., & Widyantara, I. M. O. (2016). Ekstraksi Fitur Warna, Tekstur dan Bentuk untuk Clustered-Based Retrieval of Images (CLUE). Majalah Ilmiah Teknologi Elektro, 16(1), 85. https://doi.org/10.24843/mite.1601.12
Tran, C. K., Lee, T. F., Chang, L., & Chao, P. J. (2014). Face description with local binary patterns and local ternary patterns: Improving face recognition performance using similarity feature-based selection and classification algorithm. Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014, 520–524. https://doi.org/10.1109/IS3C.2014.141
Yushar, I., Purnama, I. P. N., Sutardi, & Aksara, L. B. (2019). Pengenalan Wajah Berbasis Perhitungan Jarak Fitur LBP Menggunakan Euclidean, Manhattan, Chi Square Distance. Seminar Nasional APTIKOM (SEMNASTIK), 386–393.
Published
2020-11-26