Comparative Study of Latent Fingerprint Image Segmentation Techniques Based on Literature Review
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Publisher
Springer Singapore
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http://link.springer.com/content/pdf/10.1007/978-981-15-1518-7_33
Reference17 articles.
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2. Chen, T., W. Yin, X.S. Zhou, D. Comaniciu, and T.S. Huang. 2006. Total variation models for variable lighting face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (9): 1519–1524.
3. Cao, K., E. Liu, and A.K. Jain. 2014. Segmentation and enhancement of latent fingerprints: A coarse to fine ridge structure dictionary. IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (9): 1847–1859.
4. Chen, X., J. Tian, J. Cheng, and X. Yang. 2004. Segmentation of fingerprint images using linear classifier. EURASIP Journal on Advances in Signal Processing 2004 (4): 978695.
5. Zhu, E., J. Yin, C. Hu, and G. Zhang. 2006. A systematic method for fingerprint ridge orientation estimation and image segmentation. Pattern Recognition 39 (8): 1452–1472.
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1. Fingerprint image enhancement using multiple filters;PeerJ Computer Science;2023-01-03
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