Document filters using morphological and geometrical features of characters
This paper aims at irregular noise removal in binary document images. A new filtering algorithm called modified directional morphological filter is introduced with dual properties for eliminating document salt-and-pepper noises, and for remedying eroded character stroke distortions. For eliminating larger noises other than salt-and-pepper shape, an enhanced algorithm called image geometric structure filter (IGSF) is proposed based on the geometric stroke information of characters. IGSF can especially be used for noise removal in printed/printedhandwritten alphanumeric documents. Experiments demonstrate that the combining performance of two filters is robust, which can feasibly filter out various isolated noises in the binary document images.
image geometric structure filter binary document image filter mathematical morphology optical character recognition