Segmentation and recognition of dimension texts in engineering drawings

A method based on connected area detection is developed to segment and recognize dimension texts in engineering drawings. First we propose an effective algorithm to find all connected areas from drawing image. Then we use size criteria to find out character candidates from all connected areas and use collinear criteria to group separate character candidates into text strings. Finally we analyze text strings according to text patterns summarized from dimension texts and give out the recognition result.