Abstract:

In an automatic fingerprint identification system, precise segmentation of fingerprint image contributes to speeding up subsequent processes as well as improving the recognition accuracy. Fingerprint segmentation methods can be roughly divided into three groups, including the methods based on pixel features, the methods based on block features and the methods based on global features. Here each group was introduced according to the used features and in turn classifiers. Segmentation accuracy and time complexities of the methods were also provided for brief comparison. In conclusion,  the remaining problems and list some future research directions were detailed.
 

Key words: fingerprint segmentation; segmentation feature; segmentation classifier; segmentation accuracy; time complexity