A noise-adaptive discriminant function and its application toblurred machine-printed Kanji recognition

Accurate recognition of blurred images is a practical but previously mostly overlooked problem. In the paper, we quantify the level of noise in blurred images and propose a modification of discriminant functions that adapts to the level of noise. Experimental results indicate that the proposed method actually enhances the existing statistical methods and has impressive ability to recognize blurred image patterns     

Acousto-optic TE0-TM0 mode conversion in a thin film of amorphous tellurium dioxide

TE0-TM0 mode conversion by acousto-optic effects has been demonstrated using an amorphous-tellurium-dioxide optical waveguide and ? quartz substrate. An acoustic surface wave with a frequency of 160 MHz was used to induce photoelastic coupling in the waveguide. The incident angle of the optical beam with respect to the acoustic wavefront for obtaining TE0-TM0 crosscoupling agrees well with the value predicte from abnormal Bragg diffraction.