Recognition of Text in Wine Label Images

Author

Lim, Junsik ; Kim, Soohyung ; Park, Jonghyun ; Lee, Gueesang ; Yang, HyungJeong ; Lee, ChilWoo

Author_Institution

Sch. of Electron. & Comput. Eng., Chonnam Nat. Univ., Gwangju, South Korea

fYear

2009

fDate

4-6 Nov. 2009

Firstpage

1

Lastpage

5

Abstract

In this paper, an automatic recognition system for wine label images is described. The system includes detection and extraction of text for the recognition for wine label images. It deals with impediments caused by different font styles and font sizes, as well as illumination changes and noise effects. Firstly, the text region is extracted by an edge-histogram, and the text is binarized by clustering. Secondly, the extracted text is divided into individual characters, which are recognized by using the multi-layer perceptron. A shape-based statistical feature is adopted and the recognition results are generated for each character. The system has been implemented in a mobile phone and is demonstrated to show an acceptable performance.

Keywords

edge detection; feature extraction; fuzzy set theory; image segmentation; multilayer perceptrons; pattern clustering; statistical analysis; text analysis; automatic recognition system; binarized text clustering; edge-histogram; font style; fuzzy c-means clustering; mobile phone; multilayer perceptron; shape-based statistical feature; text detection; text recognition; text region extraction; text segmentation; wine label image; Character generation; Character recognition; Image edge detection; Image recognition; Impedance; Lighting; Mobile handsets; Multi-stage noise shaping; Multilayer perceptrons; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2009. CCPR 2009. Chinese Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-4199-0

Type

conf

DOI

10.1109/CCPR.2009.5343972

Filename

5343972