Our proposed approach to text and line-art extraction requires accurately locating a text-string box and identifying external line vectors incident on the box. The results of extrapolating these vectors inside the box are passed to an experimental single-font optical char- acter reader (OCR) program, specically trained for the font used for street labels. In the rst evaluation ex- periment, automated techniques are used to identify the boxes and the line vectors. In the second, more com- prehensive, experiment an operator marks these using a graphical user interface. OCR results on 544 instances of overlapped street-name boxes show the following im- provements due to the integrated processing: the error rate is reduced from 4.1% to 2.0% for characters and from 11.8% to 6.4% for words.