A novel two-stage algorithm for baseline estimation and correction in Farsi and Arabic handwritten text line

This paper presents a new two-stage method for estimating and correcting the baseline of handwritten subwords in Farsi and Arabic text lines. Based on the template matching algorithm, the candidate baseline pixels are detected. The writing path and the baseline of the subwords are estimated in the first and second stages of the proposed algorithm, respectively. After the estimation in each stage, the baseline is adjusted in the correction phase. Experimental results show the effectiveness of this approach in adjusting the baseline close to the correct position.