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Character recognition method based on SIFT feature and gray scale difference value histogram feature

A grayscale difference, text recognition technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve problems such as large errors when strokes are stuck together, and achieve the effect of improving text recognition rate

Inactive Publication Date: 2009-10-21
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

In the case that the image quality can be guaranteed, this feature is quite stable, but the error is large when the strokes inside the character are glued together

Method used

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  • Character recognition method based on SIFT feature and gray scale difference value histogram feature
  • Character recognition method based on SIFT feature and gray scale difference value histogram feature
  • Character recognition method based on SIFT feature and gray scale difference value histogram feature

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Embodiment Construction

[0019] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following the described embodiment.

[0020] Such as figure 1 As shown, this embodiment includes the following steps:

[0021] (1) Input the picture of the Chinese character to be recognized. The font shape, font size, position of the character in the image, rotation degree, stretching degree and background complexity of the Chinese character on the picture to be detected can be different.

[0022] (2) SIFT feature point detection: use the SIFT algorithm to describe the SIFT feature point vector, extract the feature points of the Chinese character picture to be recognized, record the relevant information...

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Abstract

The invention relates to a character recognition method based on SIFT feature and gray scale difference value histogram feature in the technical field of image character recognition. The character recognition method comprises the following steps: firstly, establishing a Chinese character template gallery, wherein pictures with different font classes, character sizes and directions under various complex backgrounds are stored into the Chinese character template gallery; secondly, performing feature extraction on the pictures in the template gallery; thirdly, calculating the feature vector of a Chinese character to be recognized; and fourthly, searching for Chinese characters which are mostly close to the Chinese character to be recognized from the template gallery. The recognition method does not need to pretreat the pictures and perform large-scale machine learning on massive character features, describes and matches characters in virtue of local features creatively and by skillful combination of gray scale statistic information in regions, has good character recognition effect as shown by the experimental result, and can well recognize different fond types of the same character.

Description

technical field [0001] The present invention relates to a method in the technical field of image text recognition, in particular to a text recognition method based on SIFT features and gray difference histogram features. Background technique [0002] At present, image text recognition technology is widely used, and this technology is to identify text information contained in an image. In fact, Western countries have achieved a lot of research results in the field of text recognition technology, but most of their research objects are limited to English letters. Because Chinese has a complex stroke structure, a huge Chinese character library, and various types of fonts, Chinese character recognition technology has become a difficult research point. [0003] Traditional text recognition technology generally includes text positioning, text enhancement and mature OCR technology. For the text recognition method based on OCR technology, its recognition performance has a great rel...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
CPCG06K2209/011G06K9/6203G06V10/7515G06V30/287
Inventor 陈凯管海兵金贞武桐郑琪
Owner SHANGHAI JIAO TONG UNIV
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