Text identification method and device irrelevant to handwriting
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A text-independent, handwriting technology, applied in the field of computer vision, can solve the problems of normalized handwriting texture damage, affect texture, affect the generality of handwriting identification methods, etc.
Active Publication Date: 2009-06-10
TSINGHUA UNIV
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[0004] In the existing technology, the handwriting text is spliced into texture blocks by using the texture analysis method. When splicing the texture blocks, the character splicing sequence itself affects the generation of the texture, and the normalization of the characters also has a certain damage to the handwriting texture.
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Embodiment 1
[0037] In order to realize the identification of text-independent handwriting, the present invention extracts the stroke level information of handwriting samples, describes the habit of writers using different microstructures in writing stroke levels, highlights the essence of handwriting style differences, and proposes a text-independent The handwriting identification method will be described in detail below with a specific embodiment.
[0038] see figure 2 , the embodiment of the present invention provides a text-independent handwriting identification method, specifically comprising:
[0039] 201: Collect multiple handwriting samples as reference handwriting samples, and perform preprocessing on each reference handwriting sample to obtain an edge image of the reference handwriting sample;
[0040] The reference handwriting sample may be multilingual handwriting samples, such as Chinese, English, Tibetan, and Uighur.
[0041] see image 3 , the preprocessing process speci...
Embodiment 2
[0146] see Figure 7 , the embodiment of the present invention provides a text-independent handwriting identification device, specifically comprising:
[0147] The preprocessing module 701 is used to preprocess the collected reference handwriting samples and the query handwriting samples that need to be identified, and obtain a plurality of reference handwriting sample edge images and query handwriting sample edge images respectively;
[0148] The process of preprocessing the handwriting sample by the preprocessing module 701 is detailed in steps 201a to 201c, which will not be described here;
[0149] The feature extraction module 702 is used to extract corresponding reference handwriting sample grid microstructure features and query handwriting sample grid microstructure features from each reference handwriting sample edge image and query handwriting sample edge image obtained from the preprocessing module 701 respectively;
[0150] For the method of feature extraction modu...
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Abstract
The invention discloses a method and a device for identifying text-independent writing, and belongs to the field of computer vision. The method comprises: preprocessing a query wring sample to obtain edge images of the query writing sample; extracting network microstructure characteristics of the query writing sample from the edge images of the query writing sample; calculating a standard difference of the network microstructure characteristics of the query writing sample and the network microstructure characteristics of each reference writing sample; calculating characteristic intervals of the network microstructure characteristics of the query writing sample and the network microstructure characteristics of each reference writing sample through weighing the standard difference; and comparing and ordering the characteristic intervals to obtain a writer candidate list of the query writing sample. The device comprises a preprocessing module, a characteristic extracting module, a weight calculating module, an interval calculating module and a comparing module. The method obtains a writing candidate through comparing intervals of the network microstructure characteristics, and improves accuracy and identifying property of writing identification.
Description
technical field [0001] The invention relates to the field of computer vision, in particular to a method and device for text-independent handwriting identification. Background technique [0002] Handwriting identification is a technology to identify the identity of the writer by the writing style of handwritten handwriting samples, and it is a kind of biometric identification technology. In the past, handwriting recognition relied on handwriting experts to use professional identification methods. In addition to the identification results being affected by experts' subjective opinions, manual large-scale handwriting retrieval is often inefficient. Therefore, computer automatic handwriting recognition technology has gradually become a new research field. It has a wide range of applications in judicial, commercial and other fields. [0003] Existing computer automatic handwriting identification methods include text-dependent methods and text-independent methods. Among them, th...
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