Handwritten form keyword detection method

A keyword detection and keyword technology, which is applied in the fields of instrument, calculation, character and pattern recognition, etc., can solve the problem of unable to effectively identify the handwritten characters of specific writers.

Active Publication Date: 2014-03-26
EAST CHINA NORMAL UNIVERSITY
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Problems solved by technology

[0004] The invention overcomes the defect in the prior art that the handwritten characters of a sp

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  • Handwritten form keyword detection method
  • Handwritten form keyword detection method

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Embodiment Construction

[0029] The present invention will be further described in detail in conjunction with the following specific embodiments and accompanying drawings. The process, conditions, experimental methods, etc. for implementing the present invention, except for the content specifically mentioned below, are common knowledge and common knowledge in this field, and the present invention has no special limitation content.

[0030] The procedure of this method is as follows figure 1 As shown, it is mainly divided into two stages: feature extraction stage and keyword detection stage. In the feature extraction stage, the feature point set of the keyword image in the keyword image library and the feature point set of the text in the text image to be detected are extracted, and the keyword feature point library and the feature point set to be detected are respectively formed after extraction. In the keyword detection stage, the two are compared to obtain the matching point pairs between the text ...

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Abstract

The invention discloses a handwritten form keyword detection method comprising that: characteristic points of keyword images in a keyword image database are extracted so that a keyword characteristic database is established; the characteristic points of texts in text images to be detected are extracted so that a characteristic point database of the text images to be detected is obtained; sliding windows of the text images to be detected are extracted, characteristic point sets corresponding to the sliding windows are extracted from the characteristic point database, and the characteristic point sets are compared so that initial matching point pair sets are obtained; the initial matching point pair sets are screened so that accurate matching point pairs are obtained; and the sliding windows in the text images to be detected are screened according to the matching point pairs and integrated so that detection results are obtained. In the process of characteristic extraction, SIFT characteristic representation is adopted. The method is applicable to detection of keywords of large amounts of handwritten form documents, such as historical literatures, correspondences, notes, etc. Under the premise of establishing a black list image database, the keywords in a black list can be effectively detected and handwriting of different authors can also be distinguished.

Description

technical field [0001] The invention relates to image detection technology, in particular to a method for detecting keywords in handwritten handwriting of a specific writer based on local features of characters. Background technique [0002] Handwritten keyword detection is to detect specific keywords in a large number of handwritten text images. The current method of handwritten keyword detection is usually to perform character retrieval on the basis of text recognition. [0003] However, there are many types of Chinese characters and changing writing styles. The existing handwritten keyword error detection methods based on text recognition first need to establish a huge Chinese character template library, and spend a lot of time on feature training and classification. The early image preprocessing and text Segmentation also greatly affects the results of character recognition, which in turn affects the results of keyword detection; in addition, this method of relying on r...

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Application Information

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IPC IPC(8): G06K9/68
Inventor 吕岳张文超
Owner EAST CHINA NORMAL UNIVERSITY
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