Cursive Script Text Recognition in Natural Scene Images: Arabic Text Complexities
暫譯: 自然場景圖像中的草寫文字識別：阿拉伯文字的複雜性

Dr. Saad Bin Ahmed is a lecturer at King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia (KSAU-HS). He is also associated with Center of Artificial Intelligence and Robotics (CAIRO) research lab at the Malaysia-Japan International Insitute of Technology (M-JIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia. He completed his Ph.D. in Intelligent Systems at the Universiti Teknologi Malaysia in 2019. Before that, he completed his Master of Computer Science in Intelligent Systems at the Technische Universität, Kaiserslautern, Germany, and was a research assistant at the Image Understanding and Pattern Recognition Research Group at the same university. His areas of interests are document image analysis, machine learning, computer vision, and optical character recognition. He has authored more than 25 research articles in leading journals and conferences, as well as book chapters. Dr. Muhammad Imran Razzak is associated with the University of Technology Sydney, Australia. Previously, he was an Associate Professor at King Saud bin Abdulaziz University for Health Sciences. He holds a patent and is also the author of more than 70 papers in respected journals and conferences. He has secured research grants of more than $1.3 million, and has successfully developed and delivered several research projects. His areas of research include machine learning, document image analysis, and health informatics. Prof. Dr. Rubiyah Yusof is a director at (CAIRO) M-JIIT, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia. She received her master's degree in Control Systems from Cranfield Institute of Technology, United Kingdom, in 1986, and her Ph.D. in Control Systems from the University of Tokushima, Japan, in 1994. Throughout her career, Dr. Yusof has made significant contributions to artificial intelligence, process control, and instrumentation design.She is recognized for her work in biometrics systems, such as KenalMuka (face recognition system) and a signature verification system, which won both national and international awards. She is the author of the book Neuro-Control and its Applications published by Springer-Verlag, in 1995, which was translated to Russian in 2001. Professor Dr Yusof is a member of the AI Society Malaysia, Instrumentation and Control Society Malaysia, and Institute of Electrical and Electronics Engineers Malaysia.

沙德·賓·艾哈邁德博士是沙烏地阿拉伯利雅德的沙烏地阿拉伯健康科學大學（KSAU-HS）的講師。他同時也與馬來西亞-日本國際科技學院（M-JIIT）人工智慧與機器人中心（CAIRO）研究實驗室有關聯，該學院隸屬於馬來西亞科技大學，位於吉隆坡。艾哈邁德博士於2019年在馬來西亞科技大學獲得智能系統的博士學位。在此之前，他在德國凱瑟斯勞滕的技術大學完成了智能系統的計算機科學碩士學位，並在同一所大學的圖像理解與模式識別研究小組擔任研究助理。他的研究興趣包括文檔圖像分析、機器學習、計算機視覺和光學字符識別。他已在主要期刊和會議上發表了超過25篇研究文章以及書籍章節。穆罕默德·伊姆蘭·拉扎克博士與澳大利亞悉尼科技大學有關聯。此前，他是沙烏地阿拉伯健康科學大學的副教授。他擁有一項專利，並且在受尊敬的期刊和會議上發表了超過70篇論文。他獲得了超過130萬美元的研究資助，並成功開發和交付了幾個研究項目。他的研究領域包括機器學習、文檔圖像分析和健康資訊學。魯比雅·尤索夫教授博士是馬來西亞科技大學（M-JIIT）CAIRO的主任。她於1986年在英國克蘭菲爾德科技學院獲得控制系統碩士學位，並於1994年在日本德島大學獲得控制系統博士學位。在她的職業生涯中，尤索夫博士對人工智慧、過程控制和儀器設計做出了重要貢獻。她因在生物識別系統方面的工作而受到認可，例如KenalMuka（面部識別系統）和簽名驗證系統，這些系統贏得了國內和國際獎項。她是1995年由Springer-Verlag出版的《神經控制及其應用》一書的作者，該書於2001年被翻譯成俄文。尤索夫教授博士是馬來西亞人工智慧學會、馬來西亞儀器與控制學會以及馬來西亞電氣與電子工程師學會的成員。