An Efficient Segmentation Based Recognition of Unconstrained Handwritten Touching Digits 


Vol. 8,  No. 3, pp. 223-230, Jun.  2001
10.3745/KIPSTB.2001.8.3.223


PDF
  Abstract

This paper proposes an efficient segmentation-based recognition algorithm for unconstrained handwritten touching digits. We classify touching into six types based on an analysis of the ligature component and the characteristic of candidate segmentation points. Four kinds of candidate segmentation points are obtained from contour profiles and the final segmentation point of touching digits is determined by verifying the candidate segment combinations. The main advantages of this method are that reliable segment combinations are used in the multiple hypothesis recognition, and segmentation errors of traditional segmentation-based approach is reduced by introducing prioritized segmentation points. To evaluate the proposed method, we have experimented with 3,500 touching digits of the NIST database. An encouraging recognition rate of 92.5% has been obtained.

  Statistics
  Cite this article

[IEEE Style]

K. K. Kim, J. H. Kim, H. J. Park, K. D. Bu, "An Efficient Segmentation Based Recognition of Unconstrained Handwritten Touching Digits," The KIPS Transactions:PartB , vol. 8, no. 3, pp. 223-230, 2001. DOI: 10.3745/KIPSTB.2001.8.3.223.

[ACM Style]

Kye Kyung Kim, Jin Ho Kim, Hee Joo Park, and Ki Dong Bu. 2001. An Efficient Segmentation Based Recognition of Unconstrained Handwritten Touching Digits. The KIPS Transactions:PartB , 8, 3, (2001), 223-230. DOI: 10.3745/KIPSTB.2001.8.3.223.

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