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References
- Shivashankara and Srinath, “American Sign Language Recognition System: An Optimal Approach,†Int. J. Image, Graph. Signal Process., vol. 10, no. 8, pp. 18–30, 2018, doi: 10.5815/ijigsp.2018.08.03.
- T. Hunt, J. Carper, T. Lasley, C. Raisch, and E. Drasgow, “American Sign Language,†Encycl. Educ. Reform Dissent, 2013, doi: 10.4135/9781412957403.n31.
- M. E. Al Rivan, H. Irsyad, K. Kevin, and A. T. Narta, “Pengenalan Alfabet American Sign Language Menggunakan K-Nearest Neighbors Dengan Ekstraksi Fitur Histogram Of Oriented Gradients,†J. Tek. Inform. dan Sist. Inf., vol. 5, no. 3, pp. 328–339, 2020, doi: 10.28932/jutisi.v5i3.1936.
- I. Fareza, R. Busdin, M. E. Al Rivan, and H. Irsyad, “Pengenalan Alfabet Bahasa Isyarat Amerika Menggunakan Edge Oriented Histogram dan Image Matching,†J. Tek. Inform. dan Sist. Inf., vol. 4, no. 1, pp. 82–92, 2018, doi: 10.28932/jutisi.v4i1.747.
- M. Ezar, A. Rivan, and M. T. Noviardy, “Klasifikasi American Sign Language Menggunakan Ekstraksi Fitur Histogram of Oriented Gradients dan Jaringan Syaraf Tiruan,†vol. 6, pp. 442–451, 2020.
- M. Zufar and B. Setiyono, “Convolutional Neural Networks Untuk Pengenalan Wajah Secara Real-Time,†J. Sains dan Seni ITS, vol. 5, no. 2, p. 128862, 2016, doi: 10.12962/j23373520.v5i2.18854.
- M. Bagus, S. Bakti, and Y. M. Pranoto, “Pengenalan Angka Sistem Isyarat Bahasa Indonesia Dengan Menggunakan Metode Convolutional Neural Network,†pp. 11–16, 2019.
- M. Swapna, Y. K. Sharma, and B. M. G. Prasadh, “CNN Architectures: Alex Net, Le Net, VGG, Google Net, Res Net,†Int. J. Recent Technol. Eng., vol. 8, no. 6, pp. 953–960, 2020, doi: 10.35940/ijrte.f9532.038620.
- S. Kulkarni and S. Harnoorkar, “Comparative Analysis of CNN Architectures,†vol. 7, no. June 6, pp. 1459–1464, 2020.
- M. Kayed, A. Anter, and H. Mohamed, “Classification of Garments from Fashion MNIST Dataset Using CNN LeNet-5 Architecture,†Proc. 2020 Int. Conf. Innov. Trends Commun. Comput. Eng. ITCE 2020, no. February, pp. 238–243, 2020, doi: 10.1109/ITCE48509.2020.9047776.
- S. Ilahiyah and A. Nilogiri, “Implementasi Deep Learning Pada Identifikasi Jenis Tumbuhan Berdasarkan Citra Daun Menggunakan Convolutional Neural Network,†JUSTINDO (Jurnal Sist. dan Teknol. Inf. Indones., vol. 3, no. 2, pp. 49–56, 2018, doi: 10.32528/JUSTINDO.V3I2.2254.
- V. Maeda-Gutiérrez et al., “Comparison of convolutional neural network architectures for classification of tomato plant diseases,†Appl. Sci., vol. 10, no. 4, 2020, doi: 10.3390/app10041245.
- Akash, “ASL Alphabet,†https://www.kaggle.com/grassknoted/asl-alphabet/, 2018.
References
Shivashankara and Srinath, “American Sign Language Recognition System: An Optimal Approach,†Int. J. Image, Graph. Signal Process., vol. 10, no. 8, pp. 18–30, 2018, doi: 10.5815/ijigsp.2018.08.03.
T. Hunt, J. Carper, T. Lasley, C. Raisch, and E. Drasgow, “American Sign Language,†Encycl. Educ. Reform Dissent, 2013, doi: 10.4135/9781412957403.n31.
M. E. Al Rivan, H. Irsyad, K. Kevin, and A. T. Narta, “Pengenalan Alfabet American Sign Language Menggunakan K-Nearest Neighbors Dengan Ekstraksi Fitur Histogram Of Oriented Gradients,†J. Tek. Inform. dan Sist. Inf., vol. 5, no. 3, pp. 328–339, 2020, doi: 10.28932/jutisi.v5i3.1936.
I. Fareza, R. Busdin, M. E. Al Rivan, and H. Irsyad, “Pengenalan Alfabet Bahasa Isyarat Amerika Menggunakan Edge Oriented Histogram dan Image Matching,†J. Tek. Inform. dan Sist. Inf., vol. 4, no. 1, pp. 82–92, 2018, doi: 10.28932/jutisi.v4i1.747.
M. Ezar, A. Rivan, and M. T. Noviardy, “Klasifikasi American Sign Language Menggunakan Ekstraksi Fitur Histogram of Oriented Gradients dan Jaringan Syaraf Tiruan,†vol. 6, pp. 442–451, 2020.
M. Zufar and B. Setiyono, “Convolutional Neural Networks Untuk Pengenalan Wajah Secara Real-Time,†J. Sains dan Seni ITS, vol. 5, no. 2, p. 128862, 2016, doi: 10.12962/j23373520.v5i2.18854.
M. Bagus, S. Bakti, and Y. M. Pranoto, “Pengenalan Angka Sistem Isyarat Bahasa Indonesia Dengan Menggunakan Metode Convolutional Neural Network,†pp. 11–16, 2019.
M. Swapna, Y. K. Sharma, and B. M. G. Prasadh, “CNN Architectures: Alex Net, Le Net, VGG, Google Net, Res Net,†Int. J. Recent Technol. Eng., vol. 8, no. 6, pp. 953–960, 2020, doi: 10.35940/ijrte.f9532.038620.
S. Kulkarni and S. Harnoorkar, “Comparative Analysis of CNN Architectures,†vol. 7, no. June 6, pp. 1459–1464, 2020.
M. Kayed, A. Anter, and H. Mohamed, “Classification of Garments from Fashion MNIST Dataset Using CNN LeNet-5 Architecture,†Proc. 2020 Int. Conf. Innov. Trends Commun. Comput. Eng. ITCE 2020, no. February, pp. 238–243, 2020, doi: 10.1109/ITCE48509.2020.9047776.
S. Ilahiyah and A. Nilogiri, “Implementasi Deep Learning Pada Identifikasi Jenis Tumbuhan Berdasarkan Citra Daun Menggunakan Convolutional Neural Network,†JUSTINDO (Jurnal Sist. dan Teknol. Inf. Indones., vol. 3, no. 2, pp. 49–56, 2018, doi: 10.32528/JUSTINDO.V3I2.2254.
V. Maeda-Gutiérrez et al., “Comparison of convolutional neural network architectures for classification of tomato plant diseases,†Appl. Sci., vol. 10, no. 4, 2020, doi: 10.3390/app10041245.
Akash, “ASL Alphabet,†https://www.kaggle.com/grassknoted/asl-alphabet/, 2018.