6. A character recognition apparatus comprising: a binarizer for binarizing an input image; a character extractor for extracting at least one character area from the binarized image; a character feature value extractor for calculating a slope value of the extracted at least one character area and setting the calculated slope value as a character feature value; and a character recognizer for recognizing a character by using a neural network for recognizing a plurality of characters by receiving the set character feature value, wherein, if the greatest character group matching score is less than the preset threshold, the character recognizer compares the character matching score output after inputting the character feature value to the corresponding character recognition neural network with a character matching score corresponding to the second greatest character group, determines whether the greatest character matching score is greater than or equal to a value obtained by subtracting a predetermined value from the character matching score corresponding to the second greatest character group, and if the greatest character matching score is greater than or equal to the value obtained by subtracting the predetermined value from the character matching score corresponding to the second greatest character group, outputs the greatest character matching score as a final result value for the character recognition.
6. A character recognition apparatus comprising: a binarizer for binarizing an input image; a character extractor for extracting at least one character area from the binarized image; a character feature value extractor for calculating a slope value of the extracted at least one character area and setting the calculated slope value as a character feature value; and a character recognizer for recognizing a character by using a neural network for recognizing a plurality of characters by receiving the set character feature value, wherein, if the greatest character group matching score is less than the preset threshold, the character recognizer compares the character matching score output after inputting the character feature value to the corresponding character recognition neural network with a character matching score corresponding to the second greatest character group, determines whether the greatest character matching score is greater than or equal to a value obtained by subtracting a predetermined value from the character matching score corresponding to the second greatest character group, and if the greatest character matching score is greater than or equal to the value obtained by subtracting the predetermined value from the character matching score corresponding to the second greatest character group, outputs the greatest character matching score as a final result value for the character recognition. 7. The character recognition apparatus of claim 6 , wherein, if the greatest character matching score is less than the value obtained by subtracting the predetermined value from the character matching score corresponding to the second greatest character group, the character recognizer outputs the character matching score corresponding to the second greatest character group as a final result value for the character recognition.