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Character recognition system

A character recognition and character technology, applied in the field of character recognition, can solve the problems of low recognition accuracy and difficulty

Inactive Publication Date: 2003-01-01
HEWLETT PACKARD CO
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Problems solved by technology

However, this indicates that it is difficult to properly determine a representative vector as a selection criterion for a group of similar characters, and that the recognition accuracy decreases depending on the quality of the representative vector

Method used

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Embodiment Construction

[0027]Embodiments of the present invention will be described below with reference to the accompanying drawings. figure 1 is a functional block diagram showing the overall structure of an example of a Japanese character recognition system used in the present invention. The system is implemented by programs running on a general purpose personal computer or workstation. Generally, such programs are called OCR (Optical Character Recognition) programs. A typical input pattern to the system is image data obtained by scanning a document by an optical scanner.

[0028] When an input pattern is received, the character segmentation section 11 of the OCR program segments characters from bitmap format data. Character segmentation itself is a feature included in traditional OCR programs. Image data segmented in a character unit is sent to a feature extraction section 12, and the inclination, width, curvature, area and other features of character lines are extracted. In this embodiment,...

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Abstract

In the prior art, in character recognition of a language having many characters, such as Japanese, a feature vector is extracted from an input pattern, distances between the feature vector and reference vectors are calculated, and a character corresponding to a reference vector having the smallest distance value is selected as a recognized character. However, in the character recognition of a language having many characters, since the number of the reference vectors to be compared is large, there is a limit in improvement of processing speed of the character recognition. In the present invention, reference vectors corresponding to target characters are classified into plurality of classes based on occurrence frequencies of characters. When distances between the feature vector and the reference vectors are calculated, a comparison is sequentially made from the reference vectors of a class having a high character occurrence frequency, so that the processing speed of the character recognition is improved.

Description

technical field [0001] The present invention relates to character recognition for a language with a large number of characters, such as Japanese, Chinese or Korean. Background technique [0002] In character recognition for a language with a large number of characters such as Japanese, Chinese, or Korean, a method is used in which features are extracted from an input pattern to extract feature vectors, which are related in advance to all the characters to be recognized. The distance between the extracted reference vectors of the target character is calculated, and the character corresponding to the reference vector with the smallest distance value is selected as the recognized character. [0003] Japanese Patent Unexamined Publication No. Hei.2-186490 discloses a system for calculating the distance between a vector extracted from a pattern of an input character and a reference vector extracted from a previously stored target character for character recognition. In this sys...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/68
CPCG06K9/6228G06K9/6807G06V30/242G06V30/1912G06F18/211G06V10/75
Inventor S·纳卡迦瓦
Owner HEWLETT PACKARD CO
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