Skew detection of Devanagari script using pixels of axes-parallel rectangle and linear regression

Skew detection and correction of handwritten data is one of the difficult tasks in pattern recognition area. Here we illustrate the method for skew detection and correction of Devanagari handwritten script. The proposed approach works for single skew. The input images for this research are collected from various writers and contain single/uniform skew words/lines. The proposed approach uses tangential pixels of axes parallel rectangle and linear regression method to calculate the skew of word/line. Finally rotation transformation is used for correction of skew of word/line which is calculated by linear regression. This technique achieves 89% accuracy to correct skew of word and achieves 93% accuracy to correct skew of line for handwritten Devanagari script.