Patent ID: 6233354
Filing Date: 2001-05-15
Classification: G06K

Abstract:
A character recognition means characterized in providing:a word candidate generation means which generates word candidates by carrying out character recognition by extracting a character candidates for a word image which is the recognition object, and combining said word candidates based on the character types which are the result of character recognition;an independent size dictionary which stores as an independent size score the score in the case that the character of said character type has size information for this character for a combination of the character type and the size information of the character;a key character selection means which finds the independent size score by referring to said independent size dictionary that makes the results of the recognition of the relevant character candidate and the size information the character type and size information of the character, calculates the degree of independent confidence of the relevant character candidate based at least on the recognition result of said individual size score and the relevant character candidate, selects said character candidate as the key character when said calculated degree of individual confidence is higher than a previously stored specified value, and selects at least one key character from the character candidates whose degree of independent confidence is high when none were selected as key characters;a relative size dictionary which, for combinations of a first character type, a first character size information, a second character type, and a second character size information, associates and stores as the relative size score the score in the case that the character of said second character type has the size information of said second character when the character of said first character type has the size information of said first character;a doubtful character selection means which, for character candidates not selected as said key characters from among the character candidates included in said word candidate, uses the recognition results of the relevant character candidate and the size information as the first character type and the size information of the first character, uses the recognition results of at least one key character included in the same word candidate as the recognition result of the relevant character candidate as the second character type and the size information of the second character to find the relative size score by referring to the relative size dictionary, calculates the degree of relative confidence of the relevant character candidate based on at least said relative size score, and when said calculated degree of relative confidence is lower than a previously stored specified value, the relevant character candidate is selected as a doubtful character;a size inference dictionary which, for combinations of a first character type, size information of the first character, and the second character type, stores an evaluation of the size information of the character of said second character type when the character of said first character type has the size information of said first character; anda character reconfirmation means which, for the character candidates selected as said doubtful characters, uses the recognition results of the relevant character candidate as the second character type, uses the recognition result of the key character and the size information used when selecting the doubtful character for the relevant character candidate as the first character type and the size information of the first character, calculates the evaluation of the size information of the relevant character candidate by referring to the size inference dictionary, sets the extraction area based on the size information given by said evaluation based on the position of the relevant character candidate in said word image, and carries out character recognition with the external frame of said set extraction area being the circumscribing rectangle of the character.