The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Fingerprint image enhancement: algorithm and performance evaluation
Abstract
In order to ensure that the performance of an automatic fingerprint identification/verification system will be robust with respect to the quality of input fingerprint images, it is essential to incorporate a fingerprint enhancement algorithm in the minutiae extraction module. We present a fast fingerprint enhancement algorithm, which can adaptively improve the clarity of ridge and valley structures of input fingerprint images based on the estimated local ridge orientation and frequency. We have evaluated the performance of the image enhancement algorithm using the goodness index of the extracted minutiae and the accuracy of an online fingerprint verification system. Experimental results show that incorporating the enhancement algorithm improves both the goodness index and the verification accuracy.
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Cites
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Handbook of Fingerprint Recognition
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Unsupervised texture segmentation using Gabor filters
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Self-citationOn-line fingerprint verification
Jain, A., Hong, L., & Bolle, R. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.587996 · Cited by 1,316
Self-citationAdvances in Fingerprint Technology
Datta, A. K. (2001) · CRC Press eBooks · doi:10.1201/9781420041347 · Cited by 849
Goal-directed evaluation of binarization methods
Trier, Ø. D., & Jain, A. K. (1995) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.476511 · Cited by 624
Self-citationKass, M., & Witkin, A. (1987) · Computer Vision, Graphics, and Image Processing · doi:10.1016/0734-189x(87)90043-0 · Cited by 612
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Self-citationA Taxonomy for Texture Description and Identification
Rao, A. R. (1990) · Springer series in perception engineering · doi:10.1007/978-1-4613-9777-9 · Cited by 398
Fingerprint image enhancement using filtering techniques
Greenberg, S., Aladjem, M. E., Kogan, D., & Dimitrov, I. (2002) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2000.903550 · Cited by 167
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Personal Verification Using Palmprint and Hand Geometry Biometric
Kumar, A., Wong, D. C. M., Shen, H. C., & Jain, A. K. (2003) · Lecture Notes in Computer Science · doi:10.1007/3-540-44887-x_78 · Cited by 502
Self-citationRoss, A., Jain, A., & Reisman, J. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(02)00349-7 · Cited by 344
Self-citationDabbah, M. A., Graham, J., Petropoulos, I. N., Tavakoli, M., & Malik, R. A. (2011) · Medical Image Analysis · doi:10.1016/j.media.2011.05.016 · Cited by 293
Controlling the contractile strength of engineered cardiac muscle by hierarchal tissue architecture
Feinberg, A. W., Alford, P. W., Jin, H., Ripplinger, C. M., Werdich, A. A., Sheehy, S. P., Grosberg, A., & Parker, K. K. (2012) · Biomaterials · doi:10.1016/j.biomaterials.2012.04.043 · Cited by 240
Sarcomere alignment is regulated by myocyte shape
Bray, M., Sheehy, S. P., & Parker, K. K. (2008) · Cell Motility · doi:10.1002/cm.20290 · Cited by 228
Metadata
- Authors
- Hong, L., Wan, Y., & Jain, A.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1998
- Volume
- 20
- Issue
- 8
- Pages
- 777-789
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2127717018
- Cited by
- 2,097
- References
- 13
- FWCI
- 12.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hong, L., Wan, Y., & Jain, A. (1998). Fingerprint image enhancement: algorithm and performance evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.709565
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
