Rolled Fingerprint Mosaicking Algorithm Based on Block Scale
| Autor: | Shengyi Pan, Minghua Gao, Yongliang Zhang, Yifan Wu, Xiaosi Zhan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Binary search algorithm
Offset (computer science) Computer science Data_MISCELLANEOUS ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0202 electrical engineering electronic engineering information engineering Fingerprint image 020201 artificial intelligence & image processing 02 engineering and technology Fingerprint recognition Algorithm |
| Zdroj: | Biometric Recognition ISBN: 9783030314552 CCBR |
| DOI: | 10.1007/978-3-030-31456-9_7 |
| Popis: | In the mosaicking process of rolled fingerprint, there will be a certain positional offset between adjacent two frames of fingerprint images due to the large elastic deformation of the fingertip portion, which results in a significant mosaicking gap in the rolled fingerprint. Aiming at the problem, a block scale based rolled fingerprint mosaicking algorithm is proposed in this paper. Firstly, the fingerprint image is divided into many small blocks, and the center areas are extracted by the binary search. Then the corresponding lines of the segmented images are mosaicked and all lines are optimized according to the sequence of frames captured in the fingerprint rolling process. Finally, all line sequences are combined to a complete rolled fingerprint. The experimental results show that the proposed algorithm can effectively eliminate the mosaicking gap and the positional deviation of misalignment and reprint, and improve the accuracy of fingerprint recognition. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|