Using OCR tools to transform scanned document images into editable text files is a important way in printed documents processing

such as those in text retrieving applications and digital library projects. Nevertheless

the OCR systems that we generally employed can not work correctly and efficiently with document images having deflections. Trying to manipulate this deflection correction procedure automatically

We study the properties of the image' s schema histogram and it' s correlation series. The result shows that under a small angle of deflection (less than 8°)

the horizontal correlation series varies negative exponentially with the angle of deflection. For this we construct a scheme that can adjust the deflection automatically depend on the image' s histogram pattern.To do this

we first choose a non-deflected sample image from the image set to find its correlation series which is in turn used to construct the negative exponential function. This experiential function can be used to determine the deflection angles of the whole set of document image. Practically

this method has shown very good performance in automatic deflection correction.