Browse > Article

Design and Implementation of a Language Identification System for Handwriting Input Data  

Lim, Chae-Gyun (을지대학교 의료산업학부)
Kim, Kyu-Ho (을지대학교 의료산업학부)
Lee, Ki-Young (을지대학교 의료산업학부)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.10, no.1, 2010 , pp. 63-68 More about this Journal
Abstract
Recently, to accelerate the Ubiquitous generation, the input interface of the mobile machinery and tools are actively being researched. In addition with the existing interfaces such as the keyboard and curser (mouse), other subdivisions including the handwriting, voice, vision, and touch are under research for new interfaces. Especially in the case of small-sized mobile machinery and tools, there is a increasing need for an efficient input interface despite the small screens. This is because, additional installment of other devices are strictly limited due to its size. Previous studies on handwriting recognition have generally been based on either two-dimensional images or algorithms which identify handwritten data inserted through vectors. Futhermore, previous studies have only focused on how to enhance the accuracy of the handwriting recognition algorithms. However, a problem arisen is that when an actual handwriting is inserted, the user must select the classification of their characters (e.g Upper or lower case English, Hangul - Korean alphabet, numbers). To solve the given problem, the current study presents a system which distinguishes different languages by analyzing the form/shape of inserted handwritten characters. The proposed technique has treated the handwritten data as sets of vector units. By analyzing the correlation and directivity of each vector units, a more efficient language distinguishing system has been made possible.
Keywords
Handwritten Data; Recognition; Shape Analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Huaigu Cao, Venu Govindaraju, "Handwritten Carbon Form Preprocessing Based on Markov Random Field", In CVPR07, pp. 1-7, 2007.
2 Kai Ding, Zhibin Liu, Lianwen Jin, Xinghua Zhu, "A Comparative Study of Gabor Feature and Gradient Feature for Handwritten Chinese Character Recognition", Proc. of ICWAPR, pp. 1182-1186, November 2007.
3 http://www.dt.co.kr/contents.html?article_no=2007072302011832718002
4 Cheng-Lin Liu, "Normalization-Cooperated Gradient Feature Extraction for Handwritten Character Recognition", IEEE Trans. PAMI, vol. 29, no. 8, pp. 1465-1469, August 2007.   DOI
5 Marcus Liwicki, Horst Bunke, "Feature Selection for On-Line Handwriting Recognition of Whiteboard Notes", Proc. of the Conf. of the Graphonomics Society, pp. 101-105, 2007.
6 이성훈, 김진형, "베이지안 망을 이용한 필기 문자 인식 및 생성", 한국정보과학회, 정보과학회지, 제24권 제12호, 56-62쪽, 2006년.   과학기술학회마을
7 조미경, 조환규, "PDA상에서의 한글 필기체 매칭 알고리즘", 한국정보과학회, 정보과학회논문지:소프트웨어 및 응용, 제29권, 제9.10호, 684-693쪽, 2002년.   과학기술학회마을
8 Jia Zeng, Zhi-Qiang Liu, "Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition", IEEE Trans. Fuzzy Syst., vol. 16, no. 3, pp. 747-760, June 2008.   DOI