Title :
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
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;
Conference_Titel :
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4199-0
DOI :
10.1109/CCPR.2009.5343972
