Manchu history document image binarization method based on U-shaped convolutional neural network

A convolutional neural network and document image technology, which is applied in the field of Manchu historical document image binarization based on U-shaped convolutional neural network, can solve the problem of uneven illumination of images, and achieve the preservation of text content and good binarization performance. , the effect of high pixel recognition accuracy

Pending Publication Date: 2021-03-16
DALIAN NATIONALITIES UNIVERSITY
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Problems solved by technology

[0005] S1: Using the block adaptive homomorphic filtering method, the Manchu historical document image is divided into several sub-block images, and homomorphic filtering is performed on the sub-block images to solve the problem of uneven illumination of the image;

Method used

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  • Manchu history document image binarization method based on U-shaped convolutional neural network
  • Manchu history document image binarization method based on U-shaped convolutional neural network
  • Manchu history document image binarization method based on U-shaped convolutional neural network

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Embodiment 1

[0020] A method for binarizing Manchu historical document images based on U-shaped convolutional neural network. Before binarizing Manchu historical document images, block homomorphic filtering is performed to achieve image enhancement to weaken uneven illumination, and then use U A Convolutional Neural Network for pixel-wise classification of images.

[0021] details as follows:

[0022] S1: Using the block adaptive homomorphic filtering method, the Manchu historical document image is divided into several sub-block images, and homomorphic filtering is performed on the sub-block images to solve the problem of uneven illumination of the image;

[0023] S2: Use U-shaped convolutional neural network to binarize the Manchu historical documents after homomorphic filtering;

[0024] S3: Analyze the results of homomorphic filtering and binarization of Manchu historical document images.

[0025] 1. Block adaptive homomorphic filtering

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Abstract

The invention discloses a Manchu historical document image binaryzation method based on a U-shaped convolutional neural network, which belongs to the technical field of image binaryzation, and comprises the steps of S1, dividing a Manchu historical document image into a plurality of sub-block images by adopting a block adaptive homomorphic filtering method, and performing homomorphic filtering onthe sub-block images to solve the problem of uneven image illumination; S2, binarizing the Manchu history document subjected to homomorphic filtering by using a U-shaped convolutional neural network.The method can enable the brightness of the image to be moderate, maintains the local details of the image, is higher in pixel recognition precision, can effectively remove a background part, maintains the text content, and is higher in flexibility and adaptability.

Description

technical field [0001] The invention belongs to the technical field of image binarization, and in particular relates to a method for image binarization of Manchu historical documents based on a U-shaped convolutional neural network. Background technique [0002] Manchu historical documents have rich historical value, and direct research on the original Manchu historical documents may damage them. Therefore, it is necessary to use digital methods to identify and preserve Manchu historical document images. The digital protection and utilization of Manchu historical documents has received widespread attention from all walks of life. Due to the long history of Manchu historical documents, ancient books have been damaged and degraded to varying degrees under the action of some human and natural factors, resulting in uneven lighting, stains and noise, which have a certain impact on the recognition and analysis of Manchu historical documents . In the recognition and analysis of M...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/12G06T7/136G06N3/04
CPCG06T7/12G06T7/136G06T2207/20056G06T2207/30176G06N3/045
Inventor 郑蕊蕊贺建军吴宝春霍小娜
Owner DALIAN NATIONALITIES UNIVERSITY
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