Image recognition method and system, storage medium and processor

A recognition method and image technology, applied in the field of image processing, can solve the problems of low accuracy and practicability, and achieve the effect of improving accuracy and practicability, and enhancing credibility

Pending Publication Date: 2019-11-22
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The embodiment of the present application provides an image recognition method and system, a storage medium and a processor, so as to at

Method used

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  • Image recognition method and system, storage medium and processor
  • Image recognition method and system, storage medium and processor
  • Image recognition method and system, storage medium and processor

Examples

Experimental program
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Example Embodiment

[0042] Example 1

[0043] According to an embodiment of the present application, a method embodiment of an image recognition method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and Although the logical sequence is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than here.

[0044] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal or a similar computing device. figure 1 It shows a block diagram of the hardware structure of a computer terminal (or mobile device) for implementing an image recognition method. Such as figure 1 As shown, the computer terminal 10 (or the mobile device 10) may include one or more (shown as 102a, 102b, ..., 102n in the figure) processor 102 (the processor 102 may include but is no...

Example Embodiment

[0169] Example 2

[0170] The operating environment is the same as or similar to the operating environment described in the foregoing embodiment 1. In the operating environment described above, according to the embodiment of the present application, the following Image 6 An embodiment of an image recognition method is shown. It should be noted that the method embodiment provided in Embodiment 2 of this application can be figure 1 It is executed in the computer terminal 10 (or mobile device 10) or similar computing device as shown.

[0171] Image 6 Is a flowchart of another image recognition method according to an embodiment of the present application, such as Image 6 As shown, the image recognition method provided by the embodiment of the present application can be implemented through the following method steps:

[0172] Step S602: Obtain the image feature of the target image, where the image feature is the image feature obtained by fusing the first image feature and the second im...

Example Embodiment

[0194] Example 3

[0195] The operating environment is the same as or similar to the operating environment described in the foregoing embodiment 1. In the operating environment described above, according to the embodiment of the present application, the following Figure 7 An embodiment of an image recognition method is shown. It should be noted that the method embodiment provided in Embodiment 3 of the present application can be figure 1 It is executed in the computer terminal 10 (or mobile device 10) or similar computing device as shown.

[0196] Figure 7 Is a flowchart of another image recognition method according to an embodiment of the present application, such as Figure 7 As shown, the image recognition method provided by the embodiment of the present application can be implemented through the following method steps:

[0197] Step S702: Obtain the image feature of the target image, where the image feature is the image feature obtained by fusing the first image feature and the...

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Abstract

The invention discloses an image recognition method and system, a storage medium and a processor. The image recognition method comprises the following steps: acquiring image features of a target image, the image features being image features obtained by fusing first image features and second image features, the first image features being image features extracted from a color image of a target object, and the second image features being image features extracted from a grayscale image of the target object; and analyzing the image features by using a preset model to obtain the type of the targetimage, the preset model being obtained by using multiple groups of data through machine learning training, and each group of data in the multiple groups of data including the image features of the sample image and the type of the sample image. According to the invention, the technical problems of relatively low accuracy and practicability when an existing image recognition method is adopted to recognize a paper duplicated image are solved.

Description

technical field [0001] The present application relates to the field of image processing, in particular, to an image recognition method and system, a storage medium and a processor. Background technique [0002] Digital image refers to a kind of image data captured by digital imaging equipment. Since digital images can record real events in the real world, digital images are often used in important fields such as judicial evidence collection and payment authentication. In this regard, the credibility of digital images degree has also attracted more and more attention from the society. [0003] For example, in the case of digital images as judicial evidence, if there are some criminals who tamper with the digital images or reproduce the images for other purposes to cover up the traces of image tampering or other processing traces, therefore, it is necessary to Whether it is retaken by a secondary image for identification. [0004] Among the existing image recognition methods...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/253
Inventor 张帆刘永亮黄继武
Owner ALIBABA GRP HLDG LTD
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