Optical character recognition based on phase features

A new method for recognition of content-less characters in low quality images using the phase congruency and local energy model is proposed. New phase features invariant to nonuniform illumination and slight geometric distortions are obtained. With the help of computer simulation the performance of the proposed method for character recognition in degraded images is presented and compared with that of common feature-based techniques in terms of recognition metrics.