Automated Latent Fingerprint Recognition
نویسندگان
چکیده
منابع مشابه
Automated Latent Fingerprint Recognition
Latent fingerprints are one of the most important and widely used evidence in law enforcement and forensic agencies worldwide. Yet, NIST evaluations show that the performance of state-of-the-art latent recognition systems is far from satisfactory. An automated latent fingerprint recognition system with high accuracy is essential to compare latents found at crime scenes to a large collection of ...
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Automated latent fingerprint recognition has gained a lot of attention from the law enforcement agencies to identify the suspects. Even though the fingerprint technology is more advanced, still there are many latent cases pending all over the world, due to lack of automated latent fingerprint recognition and also due to inadequate feature details because of smudged data and partial fingerprints...
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-Automated fingerprint recognition has received considerable attention over the past decade . Progress has been made on models of the structure of fingerprints, techniques for the acquisition of prints, and the development of commercial automated fingerprint recognition systems . Despite these advances, there remain considerable opportunities for improvement. The speed of retrieval, and the abi...
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Human fingerprints are rich in details, here called "minutiae". In this paper, a fingerprint recognition system based on a novel application of the classifier DECOC to the minutiae extraction and on an optimised matching algorithm will be presented. To identify the different shapes and types of minutiae, a Data-driven Error Correcting Output Coding (DECOC) has been adopted to work as a classifi...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2019
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2018.2818162