Handwritten ZIP code recognition using lexicon free word recognition algorithm

Author

Kimura, F. ; Miyake, Yousuke ; Shridhar, M.

Author_Institution

Fac. of Eng., Mie Univ., Tsu, Japan

Volume

2

fYear

1995

fDate

14-16 Aug 1995

Firstpage

906

Abstract

The paper describes a new approach to ZIP code recognition using a word recognition algorithm, where a numeral string is recognized as a word. The paper also describes an end to end ZIP code recognition system consisting of tilt/slant correction, line segmentation, word segmentation, ZIP code location, as well as the ZIP code recognition. Evaluation tests are performed using address block image samples collected from United States mail pieces. The results of isolated numeral recognition, manually extracted ZIP code recognition, and end to end ZIP code recognition are presented to show and discuss the advantage of the word recognition based numeral string recognition

Keywords

document image processing; edge detection; image recognition; image segmentation; postal services; United States mail pieces; ZIP code location; address block image samples; end to end ZIP code recognition system; handwritten ZIP code recognition; isolated numeral recognition; lexicon free word recognition algorithm; line segmentation; manually extracted ZIP code recognition; numeral string recognition; slant correction; tilt correction; word recognition algorithm; word segmentation; Character recognition; Clustering algorithms; Error correction; Handwriting recognition; Image recognition; Image segmentation; Performance evaluation; Postal services; Testing; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on

Conference_Location

Montreal, Que.

Print_ISBN

0-8186-7128-9

Type

conf

DOI

10.1109/ICDAR.1995.602048

Filename

602048