Automatic Fingerprint Recognition Using Minutiae Matching Technique for the Large Fingerprint Database
This work addresses fingerprint identification for security applications, but it appears incremental as it builds on existing minutiae matching techniques with optimizations for large databases.
The paper tackled the problem of automatic fingerprint recognition for large databases by proposing a minutiae matching algorithm that uses specific features of minutiae points and minimizes image size through template generation, resulting in improvements in memory and time requirements compared to other methods.
Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification system. Because minutiae matching are certainly the most well-known and widely used method for fingerprint matching, minutiae are local discontinuities in the fingerprint pattern. In this paper a fingerprint matching algorithm is proposed using some specific feature of the minutiae points, also the acquired fingerprint image is considered by minimizing its size by generating a corresponding fingerprint template for a large fingerprint database. The results achieved are compared with those obtained through some other methods also shows some improvement in the minutiae detection process in terms of memory and time required.