Pengenalan Tulisan Tangan Aksara Batak Toba Menggunakan Jaringan Saraf Tiruan Backpropagation
DAFTAR PUSTAKA
Arica N. dan Yarman-Vural. 2001. An Overview of CharacterRecognition Focused on
Off-line Handwriting. IEEE Transactions on Systems, Man and Cybernetics,
Part C: Applications and Review. 31(2): 216-233.
Bosker, M. 1992. Omnidocument Technologies. Proceeding of the IEEE. 80: 10661078.
Gonzales, R. C. & Woods, R. E. 2002. Digital Image Processing. Addison Wasley,
Massachussets.
Graupe, D. 2007. Principles of Artificial Neural Networks (2nd edition). Chicago:
World Scientific.
Jain, A. K. dan Taxt, T. 1996. Feature Extraction Methods for Character RecognitionASurvey. Pattern Recognition. 29(4): 641-662.
Kertasari, N. D. 2000. Huruf Latin Berkarakter Aksara Batak toba (Tugas Akhir),
FSRD ITB, Bandung.
Khairunnisa. 2012. Pengenalan Tulisan Tangan Latin Bersambung Menggunkan
Jaringan Saraf Tiruan Propagasi Balik. Skripsi. Medan, Indonesia: Universitas
Sumatera Utara.
Kozok, Uli. Februari 2009. Surat Batak: Sejarah Perkembangan Tulisan Batak,
Berikut Pedoman Menulis Aksara Batak dan Cap Sisimangaraja XII. KPG
(Kepustakaan Populer Gramedia) & EFEO.
Panjaitan, Robin. (2011). Pengenalan Tulisan Tangan Aksara Batak Toba
Menggunakan Jaringan Saraf Tiruan Berbasis Algoritma Resilient
Propagation. Skripsi. Bandung, Indonesia: Universitas Kristen Maranatha.
Pradeep, J., Srinivasan, E., dan Himavathi, S. 2011. Diagonal Based Feature
Extraction for Handwritten Alphabets Recognition System Using Neural
Network.International Journal of Computer Science & Information
Technology (IJCSIT).3(1): 27-38.
Putra, Nanda. 2012. Peningkatan Nilai Fitur Jaringan Propogasi Balik Pada
Pengenalan Angka Tulisan Tangan Menggunakan Metode Zoning dan
Diagonal Base Feature Extraction. Jurnal Dunia Teknologi Informasi,
Vol.1.No.1:1-6.
Phillips, D. 2000. Image Processing in C Second Edition. Kansas: R&D Publications.
Universitas Sumatera Utara
48
Puspitaningrum, D. 2006. Pengantar Jaringan Saraf Tiruan. Yogyakarta: Andi.
Sharma, O. P, Ghose, M. K. dan Shah, K. B. 2012. An Improved Zone Based Hybrid
Feature Extraction Model for Handwritten Alphabets Recognition Using Euler
Number. International Journal of Soft Computing and Engineering
(IJSCE).2(2): 504-508.
Suriski, S. Pengenalan Tulisan Tangan Aksara Batak Toba Menggunakan
Backpropogation. Tesis. Universitas Atma Jaya Yogyakarta.
Tay, Y. H. & Khalid, M. 1997. Comparison of Fuzzy ARTMAP and MLP Neural
nerwork for Hand-Written Character Recognation. Proc. of int'Federation of
Automatic Control (IFAC) Symposoum on Artificial Intelligence in Real-Time.
Universitas Sumatera Utara
Arica N. dan Yarman-Vural. 2001. An Overview of CharacterRecognition Focused on
Off-line Handwriting. IEEE Transactions on Systems, Man and Cybernetics,
Part C: Applications and Review. 31(2): 216-233.
Bosker, M. 1992. Omnidocument Technologies. Proceeding of the IEEE. 80: 10661078.
Gonzales, R. C. & Woods, R. E. 2002. Digital Image Processing. Addison Wasley,
Massachussets.
Graupe, D. 2007. Principles of Artificial Neural Networks (2nd edition). Chicago:
World Scientific.
Jain, A. K. dan Taxt, T. 1996. Feature Extraction Methods for Character RecognitionASurvey. Pattern Recognition. 29(4): 641-662.
Kertasari, N. D. 2000. Huruf Latin Berkarakter Aksara Batak toba (Tugas Akhir),
FSRD ITB, Bandung.
Khairunnisa. 2012. Pengenalan Tulisan Tangan Latin Bersambung Menggunkan
Jaringan Saraf Tiruan Propagasi Balik. Skripsi. Medan, Indonesia: Universitas
Sumatera Utara.
Kozok, Uli. Februari 2009. Surat Batak: Sejarah Perkembangan Tulisan Batak,
Berikut Pedoman Menulis Aksara Batak dan Cap Sisimangaraja XII. KPG
(Kepustakaan Populer Gramedia) & EFEO.
Panjaitan, Robin. (2011). Pengenalan Tulisan Tangan Aksara Batak Toba
Menggunakan Jaringan Saraf Tiruan Berbasis Algoritma Resilient
Propagation. Skripsi. Bandung, Indonesia: Universitas Kristen Maranatha.
Pradeep, J., Srinivasan, E., dan Himavathi, S. 2011. Diagonal Based Feature
Extraction for Handwritten Alphabets Recognition System Using Neural
Network.International Journal of Computer Science & Information
Technology (IJCSIT).3(1): 27-38.
Putra, Nanda. 2012. Peningkatan Nilai Fitur Jaringan Propogasi Balik Pada
Pengenalan Angka Tulisan Tangan Menggunakan Metode Zoning dan
Diagonal Base Feature Extraction. Jurnal Dunia Teknologi Informasi,
Vol.1.No.1:1-6.
Phillips, D. 2000. Image Processing in C Second Edition. Kansas: R&D Publications.
Universitas Sumatera Utara
48
Puspitaningrum, D. 2006. Pengantar Jaringan Saraf Tiruan. Yogyakarta: Andi.
Sharma, O. P, Ghose, M. K. dan Shah, K. B. 2012. An Improved Zone Based Hybrid
Feature Extraction Model for Handwritten Alphabets Recognition Using Euler
Number. International Journal of Soft Computing and Engineering
(IJSCE).2(2): 504-508.
Suriski, S. Pengenalan Tulisan Tangan Aksara Batak Toba Menggunakan
Backpropogation. Tesis. Universitas Atma Jaya Yogyakarta.
Tay, Y. H. & Khalid, M. 1997. Comparison of Fuzzy ARTMAP and MLP Neural
nerwork for Hand-Written Character Recognation. Proc. of int'Federation of
Automatic Control (IFAC) Symposoum on Artificial Intelligence in Real-Time.
Universitas Sumatera Utara