Method and device for feature matching and image recognition equipment
A feature matching and sub-pattern technology, applied in the field of image recognition, can solve the problems of prone to misidentification and time-consuming, and achieve the effects of avoiding misidentification, high matching accuracy, and improving matching efficiency
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Embodiment 1
[0066] figure 1 The implementation flow of the feature matching method provided by Embodiment 1 of the present invention is shown, and the details are as follows:
[0067] In step S101, the features obtained at the current time point are stored in the sub-pattern library.
[0068] In this embodiment, the features in the pattern library and the features in the test library can be described by certain character strings, numbers or symbols.
[0069] In this embodiment, Lib_ti (i=1, 2, 3...N) is used to represent the features obtained at time ti. Among them, ti represents time, Lib_t1 represents the feature obtained at time t1, Lib_t2 represents the feature obtained at time t2, the larger the i in ti, the longer the time experience, and each Lib_ti can be a string of characters, numbers or symbols To represent.
[0070] Test_ti (i=1,2,3...M) represents the characteristics of the test library obtained at time ti, the larger the i in ti, the longer the time experience, and each T...
Embodiment 2
[0095] Figure 5 The implementation flow of the feature matching method provided by Embodiment 2 of the present invention is shown, and the details are as follows:
[0096] In step S501, the features obtained at the current time point are stored in the sub-pattern library.
[0097] In step S502, the sub-pattern library is added into the pattern library.
[0098] In step S503, the features of the sub-pattern library are divided into p feature segments.
[0099] In step S504, the p feature segments of the features of the sub-pattern library are correspondingly mapped to corresponding hash addresses of p hash tables through p hash functions.
[0100] In this embodiment, the features of the sub-pattern library are divided into p feature segments, such as Image 6 shown. from Image 6 As can be seen from , the sub-pattern library is characterized by characters, numbers or symbols, and these characters, numbers or symbols need to be segmented in practice, and here they are divi...
Embodiment 3
[0112] Figure 10 A specific structural block diagram of the feature matching device provided by Embodiment 3 of the present invention is shown. For convenience of description, only parts related to the embodiment of the present invention are shown. The device 10 can be built into a computer, or can be built into a special image recognition device to complete image recognition, such as fingerprint recognition. The device 10 includes: a sub-pattern library creation unit 101, a sub-pattern library storage unit 102 , a sub-pattern library mapping unit 103 , a first request receiving unit 104 , a sub-test library mapping unit 105 , a first matching unit 106 and a second matching unit 107 .
[0113] Wherein, the sub-pattern library creation unit 101 is used to store the features obtained at the current time point into the sub-pattern library;
[0114] A sub-pattern library storage unit 102, configured to add the sub-pattern library to the pattern library;
[0115] A sub-pattern l...
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