The objective of this work is to show the importance of a good line segmentation to obtain better results in the segmentation of words of historical documents. We have used the approach developed by Manmatha and Rothfeder [1] to segment words in old handwritten documents. In their work the lines of the documents are extracted using projections. In this work, we have developed an approach to segment lines more efficiently. The new line segmentation algorithm tackles with skewed, touching and noising lines, so it is significantly improves word segmentation. Experiments using Spanish docu- ments from the Marriages Database of the Barcelona Cathedral show that this approach reduces the error rate by more than 20%.