Core point detection using improved segmentation and orientation

@article{Akram2008CorePD,
  title={Core point detection using improved segmentation and orientation},
  author={Muhammad Usman Akram and Anam Tariq and Sarwat Nasir and Assia Khanam},
  journal={2008 IEEE/ACS International Conference on Computer Systems and Applications},
  year={2008},
  pages={637-644}
}
Core point detection is very important in fingerprint classification and matching process. Usually fingerprint images have noisy background and the local orientation field also changes very rapidly in the singular point area. It is difficult to locate the singular point precisely. In this paper, we present a new algorithm for optimal core point detection using improved segmentation and orientation. In our technique detects core point accurately by extracting best region of interest(ROI) from… CONTINUE READING

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