Image recognition method and system, storage medium and processor

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...

Examples

Embodiment 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 flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and , although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[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 A block diagram of a hardware structure of a computer terminal (or mobile device) for realizing an image recognition method is shown. Such as figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more (shown by 102a, 102b, ..., 102n in the figure) processor 102 (the processor 102 may include but n...

Embodiment 2

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

[0171] Figure 6 is a flow chart of another image recognition method according to an embodiment of the present application, such as Figure 6 As shown, the image recognition method provided in the embodiment of the present application can be realized through the following method steps:

[0172] Step S602, acquiring the image features of the target image, wherein the above image features are the image features obtained after fusing the first image features and the second image fe...

Embodiment 3

[0195] The same or similar to the operating environment described in the above-mentioned embodiment 1, in the above-mentioned operating environment, 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 this application can be found in figure 1 The computer terminal 10 shown (or mobile device 10) or a similar computing device is executed.

[0196] Figure 7 is a flow chart of another image recognition method according to an embodiment of the present application, such as Figure 7 As shown, the image recognition method provided in the embodiment of the present application can be realized through the following method steps:

[0197] Step S702, acquiring the image features of the target image, wherein the above image features are image features obtained after fusing the first image features and the second image features, and...

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...

Examples

Embodiment 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 flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and , although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[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 A block diagram of a hardware structure of a computer terminal (or mobile device) for realizing an image recognition method is shown. Such as figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more (shown by 102a, 102b, ..., 102n in the figure) processor 102 (the processor 102 may include but n...

Embodiment 2

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

[0171] Figure 6 is a flow chart of another image recognition method according to an embodiment of the present application, such as Figure 6 As shown, the image recognition method provided in the embodiment of the present application can be realized through the following method steps:

[0172] Step S602, acquiring the image features of the target image, wherein the above image features are the image features obtained after fusing the first image features and the second image fe...

Embodiment 3

[0195] The same or similar to the operating environment described in the above-mentioned embodiment 1, in the above-mentioned operating environment, 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 this application can be found in figure 1 The computer terminal 10 shown (or mobile device 10) or a similar computing device is executed.

[0196] Figure 7 is a flow chart of another image recognition method according to an embodiment of the present application, such as Figure 7 As shown, the image recognition method provided in the embodiment of the present application can be realized through the following method steps:

[0197] Step S702, acquiring the image features of the target image, wherein the above image features are image features obtained after fusing the first image features and the second image features, and...

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