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Feature-based technique for partial fingerprint matching


Vijayaprasad, Perumal and Sulaiman, Md. Nasir and Mustapha, Norwati and O. K. Rahmat, Rahmita Wirza (2011) Feature-based technique for partial fingerprint matching. In: 7th International Conference on Information Technology in Asia (CITA 2011), 12-13 July 2011, Kuching, Sarawak. .


This paper deals with filter bank to match partial fingerprints. The method uses both local and global details in a fingerprint and defined as fixed length feature vector. Final matching is done by calculating Euclidean distance between the two corresponding feature vectors. Input fingerprints are made to 256 × 256 image of 8-bit grayscale with 500 dots per inch. Finger code is calculated by rotating the input images. Normalization is applied after cropping and sectoring the fingerprint image and finally gabor filters are used with same angle of rotation. Results proved that our method is better in false acceptance and total error rate when compared to the minutiae based approach. FVC2004 database is used for testing and comparison.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/CITA.2011.5999524
Publisher: IEEE
Keywords: Core point localization; Eucildean distance; Gabor filters
Depositing User: Nabilah Mustapa
Date Deposited: 15 Jul 2016 03:42
Last Modified: 15 Jul 2016 03:42
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/CITA.2011.5999524
URI: http://psasir.upm.edu.my/id/eprint/47761
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