Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition

449 indexed citations

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This paper, published in 2010, received 449 indexed citations. Written by Raffaele Cappelli, Matteo Ferrara and Davide Maltoni covering the research area of Computer Vision and Pattern Recognition, Information Systems and Signal Processing. It is primarily cited by scholars working on Signal Processing (419 citations), Computer Vision and Pattern Recognition (291 citations) and Information Systems (185 citations). Published in IEEE Transactions on Pattern Analysis and Machine Intelligence.

Countries where authors are citing Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition

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This map shows the geographic impact of Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition more than expected).

Fields of papers citing Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition.

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This paper is also available at doi.org/10.1109/tpami.2010.52.

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