Meticulous Alignment for On-Display Fingerprint Sensor on Smartphone

This paper presents a fingerprint alignment algorithm based on the latest on-display optical fingerprint image sensors used for the brand-new smartphone. In order to avoid finding very similar but wrong alignment results, fingerprint ridges are used for matching instead of minutia points. Besides, the Gabor filtering enhancement is added to the algorithm to improve the disordered ridge-line issue. We have also designed a set of graphical user interface for producing ground truths very efficiently to shorten the verification time required to produce correct alignment and matching results. Even if the quality of the fingerprint image from on-display fingerprint sensor is poor, the accuracy of fingerprint alignment can be improved through the proposed algorithm. The higher the accuracy, the more secure the data in the mobile application can be ensured.