10. A computerized image processing method comprising: first area extracting including using a computer processor unit to extract at least a first document area from document image data stored in a computer memory by dividing the document image data in units of a document area; language determining including determining, using the computer processor unit, a type of a language used in the stored document image data; and second area extracting including extracting, using the computer processor unit, a second document area by dividing the first document area based on a rule corresponding to the type of the language determined at the determining, wherein the first area extracting includes white-block extracting including extracting, from a document area unit of binary document image data, a maximum white-block group by identifying a preliminary group of at least one white-block according to an evaluation function, estimating a font size based on a distribution of black blocks in document area units, and eliminating white-blocks from the preliminary group according to the estimated font size, and white-block dividing including dividing the document area unit into a plurality of document area units by using the at least one white-block in the maximum white-block group extracted at the white-block extracting as separators, wherein the white-block extracting includes extracting the plurality of document area units divided from the document area unit, placing them in a stack, and extracting another maximum white-block group from a document area unit at a top of the stack, and wherein the first area extracting includes performing the extracting the maximum white-block group, the dividing the document area unit, and the extracting the plurality of document area units until the stack is empty.
10. A computerized image processing method comprising: first area extracting including using a computer processor unit to extract at least a first document area from document image data stored in a computer memory by dividing the document image data in units of a document area; language determining including determining, using the computer processor unit, a type of a language used in the stored document image data; and second area extracting including extracting, using the computer processor unit, a second document area by dividing the first document area based on a rule corresponding to the type of the language determined at the determining, wherein the first area extracting includes white-block extracting including extracting, from a document area unit of binary document image data, a maximum white-block group by identifying a preliminary group of at least one white-block according to an evaluation function, estimating a font size based on a distribution of black blocks in document area units, and eliminating white-blocks from the preliminary group according to the estimated font size, and white-block dividing including dividing the document area unit into a plurality of document area units by using the at least one white-block in the maximum white-block group extracted at the white-block extracting as separators, wherein the white-block extracting includes extracting the plurality of document area units divided from the document area unit, placing them in a stack, and extracting another maximum white-block group from a document area unit at a top of the stack, and wherein the first area extracting includes performing the extracting the maximum white-block group, the dividing the document area unit, and the extracting the plurality of document area units until the stack is empty. 13. The computerized image processing method according to claim 10 , further comprising: attribute determining including determining an attribute of the first document area, wherein the second area extracting includes extracting a second document area by dividing the first document area or combining the first document area with at least another different unit of a document area based on a rule corresponding to the type of the language determined at the language determining and the attribute determined at the attribute determining.