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Fast image recognition system and method based on perceptual hashing

A technology of perceptual hashing and image recognition, applied in the field of image recognition, can solve problems such as low cost, time-consuming and labor-intensive efficiency, etc.

Pending Publication Date: 2018-11-27
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a fast image recognition system and method based on perceptual hashing, which solves the problem of time-consuming, laborious and inefficient calculation of a single perceptual hashing algorithm, and provides similarity search between images. New and more efficient algorithm

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  • Fast image recognition system and method based on perceptual hashing

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Embodiment 1

[0050] Embodiment 1: as figure 1 As shown, a fast image recognition system based on perceptual hashing, including a block diagram of modules, including an input module, a size processing module, a color adjustment module, a DCT module, an equalization module, a reduction module, an accelerated processing module, and a perceptual hash calculation module , comparison module and output module.

[0051]The input module is used to input the initial initial image. The size processing module is used for processing image differences caused by different sizes and ratios. Use the method of reducing the size to remove the high frequency and details most quickly, and only keep the light and shade of the structure. The color adjustment module is used to convert the reduced image into 64-level grayscale. The DCT module is used to decompose the picture into frequency aggregation and trapezoidal shape. Although JPEG uses 8*8 DCT transformation, 32*32 DCT transformation is used here. After...

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Abstract

The invention relates to a fast image recognition system and method based on perceptual hashing, and belongs to the technical field of image recognition. The fast image recognition system comprises aninput module, a size processing module, a color adjustment module, a DCT module, an equalization module, a reduction module, an acceleration processing module, a perceptual hashing calculation module, a comparison module and an output module. The advantages and the significance of the invention are that after the initial image inputted, the KMEANS algorithm is applied to perform acceleration calculation of the Hamming moment, then processing is performed by using the perceptual hashing algorithm and then comparison with all the image databases is performed so that the problems of time consumption and labor consumption and low efficiency of calculation of the single perceptual hashing algorithm can be solved and a new and more efficient algorithm for similarity search between images can beprovided.

Description

technical field [0001] The invention relates to a fast image recognition system and method based on perceptual hashing, belonging to the technical field of image recognition. Background technique [0002] Today's era is the era of rapid development of the Internet, and various search engines have brought great convenience to everyone's life. A search engine refers to a system that uses specific computer programs to collect information from the Internet according to a certain strategy, organizes and processes the information, provides users with retrieval services, and displays relevant information to users. At present, text search engines have become an indispensable thing in everyone's life, and image search is an emerging search method. In our daily online activities, in addition to text information, we can also access a large amount of image information. When we need to find images, image search engines are particularly important. But at present, to quickly and effectiv...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F18/23213
Inventor 邵玉斌张琪高凌云志
Owner KUNMING UNIV OF SCI & TECH
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