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Character recognition system and method

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

Inactive Publication Date: 2009-06-17
HEWLETT PACKARD CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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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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  • Character recognition system and method

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Embodiment Construction

[0027]Embodiments of the present invention will be described below with reference to the accompanying drawings. Fig. 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, f...

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Abstract

In the prior art, in character recognition of a language with a large number of characters, such as Japanese, a feature vector is extracted from an input pattern, the distance between the feature vector and the reference vector is calculated, and the value with the minimum distance The character corresponding to the reference vector of is selected as the recognized character. However, in character recognition for a language having a large number of characters, there is a limit to an increase in character recognition processing speed due to the large number of reference vectors to be compared. In the present invention, the reference vectors corresponding to the target characters are classified into a plurality of categories according to the frequency of appearance of the characters. When calculating the distance between the feature vector and the reference vector, comparison is made sequentially from the reference vector of the category with high character appearance frequency, so that the processing speed of 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 Patents(China)
IPC IPC(8): G06K9/62G06K9/72G06K9/68
CPCG06K9/6228G06K9/6807G06V30/242G06V30/1912G06F18/211G06V10/75
Inventor S·纳卡迦瓦
Owner HEWLETT PACKARD CO
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