Latent Fingerprint Matching - Kumar, Rajendra
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The latent fingerprints are left by the criminals at crime scene unintentionally. Poor quality fingerprint images lead to missing and spurious minutiae that degrade the performance of fingerprint matching system. The quality of the fingerprint images greatly affects the performance of the minutiae extraction. The importance of image processing concepts cannot be ruled out to make a offline bio-metric method robust. This target can be mainly decomposed into image capturing, preprocessing, feature extraction and feature match. It is essential to incorporate a fingerprint manipulation algorithm…mehr

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Produktbeschreibung
The latent fingerprints are left by the criminals at crime scene unintentionally. Poor quality fingerprint images lead to missing and spurious minutiae that degrade the performance of fingerprint matching system. The quality of the fingerprint images greatly affects the performance of the minutiae extraction. The importance of image processing concepts cannot be ruled out to make a offline bio-metric method robust. This target can be mainly decomposed into image capturing, preprocessing, feature extraction and feature match. It is essential to incorporate a fingerprint manipulation algorithm in the minutiae extraction module. A robust approach to eliminate false minutiae has also been presented that connects broken curves in fingerprint due uneven surface, low finger pressure, cut, or presence of dust particles.
Autorenporträt
Rajendra Kumar is Associate Professor and Head of Computer Sc. & Engineering department at Vidya College of Engineering, Meerut (India). He has written several books including Theory of Automata, Languages & Computation from Mcgraw-Hill. He is reviewer of JCBBR, Nairobi and IJCEE, Singapore. He has also taught at MIET, Meerut and BIET, Jhansi.