CN201532639U - Fingerprint identification device - Google Patents

Abstract

The utility model provides a fingerprint identification device, comprising a fingerprint collector; a fingerprint data processing module connected with the fingerprint collector; a use terminal connected with the fingerprint data processing module, wherein the fingerprint processing module comprises: an image processing module; a feature point extraction module connected with the image processing module; an output module connected with the feature point extraction module. The fingerprint identification device increases the fingerprint identification accuracy rate and speed with stable performance and is generally suitable for bank payment system.

Description

Fingerprint identification device

Technical field

The utility model relates to a kind of recognition device, and is particularly related to a kind of fingerprint identification device.

Background technology

Now, what the transaction in most banks and shopping market was all adopted is " authority magnetic card+password " mode, has a lot of hidden danger in concrete application and system execution, such as: easily be forged.The easier acquisition of password under the unwitting situation of holder, is illegally used its authority; Easily by stand-by.Without permission, authorize mutually privately, the holder meets at own authority card other people without authorization and uses or the holder is coerced by the people and oneself authority card is met at other people use; Easily leave behind or lose, make troubles and influence for own and household and colleague's life and work.

The biological identification technology is that an emerging human body biological characteristics that utilizes is determined the technology of personal identification, can be widely used in fields such as criminal investigation, safety, bank.Fingerprint with different because of its people, because of different, the easy collection of finger with relatively wait advantage, become the earliest and the human body biological characteristics of normal use.Therefore, fingerprint identification technology occupies an important position in the biological identification field, has vast potential for future development.

At present, the fingerprint identification method that is used for person identification is different, but the existing fingerprint identification method problem that all the ubiquity discrimination is low, recognition speed is slow.

The utility model content

In order to overcome the problem that the discrimination that exists in the prior art is low, recognition speed is slow, the utility model provides a kind of fingerprint recognition rate height, the fast device of recognition speed.

To achieve these goals, the utility model proposes a kind of fingerprint identification device, comprising: fingerprint capturer; The finger print data processing module links to each other with described fingerprint capturer; Use terminal, link to each other with described finger print data processing module; Wherein, described finger print data processing module comprises: image processing module; The feature point extraction module links to each other with described image processing module; Output module links to each other with described feature point extraction module.

Optionally, described image processing module comprises: the image pretreatment module; The image binaryzation module links to each other with described image pretreatment module; The image thinning module links to each other with described image binaryzation module.

Optionally, described image pretreatment module links to each other with described fingerprint capturer.

Optionally, described image thinning module links to each other with described feature point extraction module.

Optionally, described image processing module disposal route comprises extreme value filtering, smothing filtering and Laplce's sharpening.

Optionally, described finger print data processing module uses dsp processor to carry out data processing.

Optionally, the described terminal of using is computer system.

The beneficial effect of fingerprint identification device described in the utility model mainly shows: the utility model provides fingerprint identification device, carries out data processing based on dsp processor, makes processing speed and accuracy be improved; System directly links to each other with the use terminal computer, and identifying is finished in using terminal, has improved the recognition accuracy of fingerprint and the speed of identification, and stable performance can generally be applicable to bank payment system.

Description of drawings

Fig. 1 is the structural representation of the utility model fingerprint identification device.

Embodiment

The utility model will be further described below in conjunction with accompanying drawing.

At first please refer to Fig. 1, Fig. 1 is the structural representation of the utility model fingerprint identification device, and the utility model comprises as seen from Figure 1: fingerprint capturer 18; Finger print data processing module 13 links to each other with described fingerprint capturer 18, and described finger print data processing module 13 uses dsp processor to carry out data processing; Use terminal 11, link to each other with described finger print data processing module 13, the described terminal 11 of using is computer system; Wherein, described finger print data processing module 13 comprises: image processing module 15, described image processing module 15 disposal routes comprise extreme value filtering, smothing filtering and Laplce's sharpening, described image processing module 15 comprises: image pretreatment module 17, and described image pretreatment module 17 links to each other with described fingerprint capturer 18; Image binaryzation module 19 links to each other with described image pretreatment module 17; Image thinning module 16 links to each other with described image binaryzation module 19; Feature point extraction module 14 links to each other with described image processing module 15, and further, described image thinning module 16 links to each other with described feature point extraction module 14; Output module 12 links to each other with described feature point extraction module 14.

Wherein, described extreme value Filtering Processing process is as follows:

One. being provided with a pending pixel region is s0, and 8 neighborhood territory pixels are arranged as follows around it:

$\left[\begin{array}{ccc}s1& s2& s3\\ s4& s0& s5\\ s6& s7& s8\end{array}\right]$

Get the average Ai of neighborhood related pixel earlier, i ∈ 1,2 ... 8} is one group of processing unit with four pixels.

Two. if A0 is greater than max (Ai), i ∈ 1,2 ... 8}, then

s1＝s2＝s4＝s0＝max(A1，A2，A4)

s2＝s3＝s5＝s0＝max(A2，A3，A5)

s4＝s6＝s7＝s0＝max(A4，A6，A7)

s5＝s7＝s8＝s0＝max(A5，A7，A8)

Three. if A0 is less than min (Ai), i ∈ 1,2 ... 8}, then

s1＝s2＝s4＝s0＝min(A1，A2，A4)

s2＝s3＝s5＝s0＝min(A2，A3，A5)

s4＝s6＝s7＝s0＝min(A4，A6，A7)

s5＝s7＝s8＝s0＝min(A5，A7，A8)

Four. if Ai is more than or equal to min (Ai) and smaller or equal to max (Ai), i ∈ 1,2 ... 8} then with the output of pixel initial value, does not process.

The process of described The disposal of gentle filter is as follows: each pixel in the fingerprint and M are carried out convolution, and level and smooth convolution kernel is:

$M=\frac{1}{15}\left[\begin{array}{ccc}1& 2& 1\\ 2& 5& 2\\ 1& 2& 1\end{array}\right]$

The process that described Laplce's sharpening is handled is as follows: the sharpening convolution kernel adopts the La Pulashi operator, and is as follows:

$h=\left[\begin{array}{ccc}-1& -1& -1\\ -1& 9& -1\\ -1& -1& -1\end{array}\right]$

By this convolution kernel image pixel is carried out the convolution budget, realize high-pass filtering, thereby make Laplace operator be used on the fingerprint image, and obtain the fingerprint ridge line after the sharpening.

Described feature point extraction module is extracted through the process of pretreated fingerprint image characteristics point as follows by the iteration threshold binaryzation:

Take the method for iteration threshold, in the iteration threshold computing:

A. set initial threshold T, as make T=127 (gray level), the average gray value of fingerprint image is divided into two groups of R1 and R2;

B. calculate this average gray value u1 and u2 of two groups;

C. and then reset new gray threshold T, new T is defined as: T=(u1+u2)/2;

D. according to this T fingerprint image is carried out Threshold Segmentation.

During practical operation, use terminal 11 to send instruction to finger print data processing module 13, finger print data processing module 13 is after receiving instruction, start fingerprint capturer 18, fingerprint capturer 18 is gathered fingerprint, after having gathered, sends finger print data processing module 13 to gathering good fingerprint image, handle back (image pre-service-image binaryzation-image thinning-extract minutiae) through fingerprint algorithm, the unique point of extracting is sent to by output module 12 use terminal 11 to handle.

Finger print data processing module 13 utilizes DSP that fingerprint is carried out digital signal processing, has advantages such as processing speed is fast, flexible, accurate, antijamming capability is strong, volume is little.

Though the utility model discloses as above with preferred embodiment, so it is not in order to limit the utility model.Have in the technical field under the utility model and know the knowledgeable usually, in not breaking away from spirit and scope of the present utility model, when being used for a variety of modifications and variations.Therefore, protection domain of the present utility model is as the criterion when looking claims person of defining.

Claims (3)

1. fingerprint identification device is characterized in that comprising:

Fingerprint capturer;

The finger print data processing module links to each other with described fingerprint capturer, and described finger print data processing module comprises: image processing module; The feature point extraction module links to each other with described image processing module; Output module links to each other with described feature point extraction module;

Use terminal, link to each other with described finger print data processing module.

2. fingerprint identification device according to claim 1 is characterized in that described finger print data processing module use dsp processor carries out data processing.

3. fingerprint identification device according to claim 1 is characterized in that the described terminal of using is computer system.

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