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MATLAB Code of fingerprint classification by graph matching

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Description

Fingerprint classification is one of the important parts of fingerprint recognition. There are four classes for fingerprints ( Whorl , Arch , Right Loop , Left Loop).

In this code, we classify fingerprint by graph matching. In this method, at first input image is passed through preprocessing, and then four directional images are obtained. Then all directional images are divided into four section. A graph is produced based on the feature of each section. This graph is compared with the reference graph. The closest graph is considered as the final class.

Simulation results show 92.76 percent accuracy.

This code is with the database of images.

 

 

 

 

References :

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Random Forest Classifier

Classification

Content-based image retrieval

 

 

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