关键词: 自然场景, 文本提取, 连通域分析, 边缘扫描

Abstract: Sign text extraction and character recognition from natural scenes is always a hot area in the field of digital photograph.The current algorithms have some shortcomings to this problem，such as low precision，low recall，and poor robustness.In this paper，we present a new highly efficient text extraction algorithm from complex images of natural scenes.Firstly，as sign text images usually have complex natural background，the original image is vaguely processed.Then through Laplacian marginal extraction and deletion of the long brink of non-text image，the text is extracted according to connected component analysis and edge scanning.From a large number of photographs testing in ICDAR’2003 Robust Reading Competition，this algorithm shows its robustness，accuracy and efficiency in identifying text language，color，font size and configuration from complex background.

Key words: natural scene, text extraction, connected component analysis, edge scan