A cross mosaic based partial fingerprint recognition strategy with multiple templates

In order to enrich the effective feature information of fingerprint template and improve the matching performance of local fingerprint identification system, this paper proposes a multi-template partial fingerprint recognition strategy based on cross mosaicing. In the registration phase, the template feature cross-splicing process is performed on the fingerprint feature template extracted from the local fingerprint image to enrich the effective feature information of the fingerprint template, thereby avoiding the occurrence of mosaicing failure due to different mosaicing sequences. In view of the problem that the fingerprint image recombination rate is too low and will cause the fail of registration, this paper base on multiple storage templates, and continuously enriches the effective information contained in the feature template through the template update strategy in the authentication phase. The experimental results have shown that the strategy of this paper has better matching performance.