Recognition of Text in Wine Label Images

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.