فهرست و منابع پروژه ارائه روشی فازی برای شناسایی الگو های عددی فارسی
فهرست:
تعریف پروژه
مروری بر کار های انجام شده
تحلیل موضوع
-- پیش پردازش
-- استخراج ویژگی ها
-- شناسایی
- مجموعه فازی و انتخاب تابع عضویت
تحلیل کد های استفاده شده در شبیه سازی
شبیه سازی و ارائه نتایج تجربی
بررسی مزایا و معایب روش موجود
پیوست
مراجع
منبع:
[1] Hossein Khosravi a,b,*, Ehsanollah Kabir,” Introducing a very large dataset of handwritten Farsi digits and a study on their varieties”, Pattern Recognition Letters 28 (2007) 1133–1141
[2] Ernst M. Kussul, Member, IEEE, Tatiana N. Baidyk, Donald C. Wunsch II, Fellow, IEEE, Oleksandr Makeyev, Associate Member, IEEE, and Anabel Martín,” Permutation Coding
Technique for Image Recognition Systems”, IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 17, NO. 6, NOVEMBER 2006
[3] S. Mori, C. Y. Suen and K. Yamamoto, “historical review of OCR research and development”, proceedings of the IEEE, Vol. 80, No. 7, 1992, pp. 1029-1058.
[4] J. Hu, M. K. Brown and W Turin, “HMM based on-line handwriting recognition”, IEEE Transactions on Pattern Analysis and Machin Intelligence, Vol. 18, October . 1996, pp. 1039-1045.
[5] A. Amin, "Off-line Arabic character recognition – the state of the art [review]", Pattern Recognition, vol. 31, No. 5, 1998, pp. 517-530.
[6] Ke Liu, Yea S. Huang, and Ching Y. Suen image. A geometrical graph-based approach is developed for the,” Identification of Fork Points on the Skeletons of Handwritten Chinese Characters, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 21, NO. 10, OCTOBER 1999
[7] Salim Ouchtati, Bedda Mouldi and Abderrazak Lachouri,” Segmentation and Recognition of Handwritten
Numeric Chains “INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY VOLUME 4 NUMBER 1 2007 ISSN 1305-2403
[8] Alexander K. Seewald,” Digits - A Dataset for Handwritten Digit Recognition”, Austrian Research Institute for Arti_cial Intelligence
Freyung 6/6, A-1010 Vienna, Austria
[9] Jay Wierer and Nigel Boston,” A HANDWRITTEN DIGIT RECOGNITION ALGORITHM USING TWO-DIMENSIONAL
HIDDEN MARKOV MODELS FOR FEATURE EXTRACTION”, University of Wisconsin - Madison
Department of Electrical and Computer Engineering
[10] Ernesst kussul,tatyana baidyk, “improvement method of handwritten digit recognition”, Cd.Universitaria A.P.70-186 C.P.04510 Mexico, D.F.
[11] Ernst Kussul*, Tatiana Baidyk ,” Improved method of handwritten digit recognition
tested on MNIST database” Image and Vision Computing 22 (2004) 971–981
[12] Oivid Due Trier, Anil K. Jain, & Torfinn Taxt, “Feature extraction methods for character recognition – a survey”, Pattern recognition, Vol. 29, No. 4, 1996, pp.641-662.
[13] Simone Marinai, Marco Gori, Fellow, IEEE, and Giovanni Soda, Member, IEEE Computer Society, Artificial Neural Networks for Document Analysis and Recognition
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 27, NO. 1, JANUARY 2005
[14] M. Hanmandlua, K.R. Murali Mohanb; ∗, Sourav Chakrabortyc, Sumeer Goyald, Unconstrained handwritten character recognition based on fuzzy logic, Pattern Recognition 36 (2003) 603 – 623
[15] حسین ابراهیم نژا د ،دانشجوی دکترا مهندسی برق، غلامعلی منتظر ،استادیار مهندسی فناوری اطلاعات ،ارائه روش بهبود یافته فازی برای شناسایی الگو های عددی فارسی 11 International CSI Computer Conference (CSICC’2006), School of Computer Science, IPM, Jan. 24-26, 2006, Tehran, Iran