Automatic tax-sheet input system using handwritten numeral recognition

التفاصيل البيبلوغرافية
العنوان: Automatic tax-sheet input system using handwritten numeral recognition
المؤلفون: Kyu Young Rho, Kang Yoon Lee, Hankyu Lim, Pyeoung Kee Kim, Seong Mook Kim
المصدر: TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162).
بيانات النشر: IEEE, 2002.
سنة النشر: 2002
مصطلحات موضوعية: Numeral system, Contextual image classification, Handwriting recognition, business.industry, Computer science, Speech recognition, Feature (machine learning), Pattern recognition, Artificial intelligence, Optical character recognition, business, computer.software_genre, computer
الوصف: This paper presents an automatic tax-sheet input system (ATSIS) using a structural numeral recognition. Using an ATSIS is much needed because it helps reduce data input cost and increases the correctness of the input data. A numeral is represented as sequence of stroke codes and feature points. We classify confusing numerals using separate fuzzy functions. An experiment on sample tax-sheets shows favorable results.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::acf9d49580eb9610e8911d717f2cc02d
https://doi.org/10.1109/tencon.1997.648260
رقم الأكسشن: edsair.doi...........acf9d49580eb9610e8911d717f2cc02d
قاعدة البيانات: OpenAIRE