4. A character segmenting method, in a character recognition device for recognizing characters by segmenting each character from a character string which is segmented from image data acquired by capturing a character string on a medium, for processing said image data to segment each character from said character string; the method comprising: detecting a boundary position of neighboring characters in said character string and segmenting each character; setting a range to search a boundary position of neighboring characters in said character string; and acquiring a boundary position of characters by using a discriminant analysis method within said set search range; wherein, in said acquiring a boundary position, a projection to said boundary search range is divided by a predetermined width into two regions; the within-region variance in each of two division regions, the between-region variance and the variance ratio between the within-region variance and the between-region variance are calculated; and the position to segment a character is set based on said calculated variance ratio.
4. A character segmenting method, in a character recognition device for recognizing characters by segmenting each character from a character string which is segmented from image data acquired by capturing a character string on a medium, for processing said image data to segment each character from said character string; the method comprising: detecting a boundary position of neighboring characters in said character string and segmenting each character; setting a range to search a boundary position of neighboring characters in said character string; and acquiring a boundary position of characters by using a discriminant analysis method within said set search range; wherein, in said acquiring a boundary position, a projection to said boundary search range is divided by a predetermined width into two regions; the within-region variance in each of two division regions, the between-region variance and the variance ratio between the within-region variance and the between-region variance are calculated; and the position to segment a character is set based on said calculated variance ratio. 5. The character segmenting method as set forth in claim 4 wherein said segmenting comprises detecting a smallest luminance value in each pixel line arranged in the direction orthogonal to the direction of said character string in said image data and creating a projection curve within said image data based on said smallest luminance value of each pixel line; and said setting a range sets said boundary search range by associating it with said projection curve.