Design and Implementation for Korean Character and Pen-gesture Recognition System using Stroke Information 


Vol. 9,  No. 6, pp. 765-774, Dec.  2002
10.3745/KIPSTB.2002.9.6.765


PDF
  Abstract

The purpose of this paper is a design and implementation for korean character and pen-gesture recognition system in multimedia terminal, PDA and etc, which demand both a fast process and a high recognition rate. To recognize writing-types which are written by various users, the korean character recognition system uses a database which is based on the characteristic information of korean and the stroke information which composes a phoneme, etc. In addition, it has a fast speed by the phoneme segmentation which uses the successive process or the backtracking process. The pen-gesture recognition system is performed by a matching process between the classification features extracted from an input pen-gesture and the classification features of 15 pen-gestures types defined in the gesture model. The classification feature is using the insensitive stroke information, i.e., the positional relation between two strokes, the crossing number, the direction transition, the direction vector, the number of direction code, and the distance ratio between starting and ending point in each stroke. In the experiment, we acquired a high recognition rate and a fast speed.

  Statistics
  Cite this article

[IEEE Style]

J. Taek and W. H. Kim, "Design and Implementation for Korean Character and Pen-gesture Recognition System using Stroke Information," The KIPS Transactions:PartB , vol. 9, no. 6, pp. 765-774, 2002. DOI: 10.3745/KIPSTB.2002.9.6.765.

[ACM Style]

Jun Taek and Wook Hyun Kim. 2002. Design and Implementation for Korean Character and Pen-gesture Recognition System using Stroke Information. The KIPS Transactions:PartB , 9, 6, (2002), 765-774. DOI: 10.3745/KIPSTB.2002.9.6.765.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals