Touchless fingerprint recognition with high acceptance

high security

hygiene advantages

is currently a hot research field of biometrics

The background areas of touchless fingerprints are more complex than those of the contact

Fingerprint image will appear rotation and translation phenomenon

What's more

the contrast of the ridge and valley lines is much lower

These factors seriously affected the performance of the touchless fingerprint recognition.So the general methods for contact fingerprint images are difficult to achieve good effect.Firstly

In this paper

a method is put out to preprocess the images reasonably aiming at these features.Secondly

the Otsu based on the Cb component of the YCbCr model is adopted to extract the finger area.When the fingerprint images are enhanced

combining the high frequency emphasis filtering and iterative adaptive histogram equalization technique is adopted firstly and then the simplified Gabor function template is used to enhance them again.thirdly

this paper proposed a new method of extracting the ROI fingerprint area.lastly

AR-LBP algorithm is adopted for feature extraction and the nearest neighbor classifier is used for feature matching.Experimental results show that the proposed method in this paper can achieve good image identify results.