Feature-based technique for partial fingerprint matching

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 m...

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Main Authors: Vijayaprasad, Perumal, Sulaiman, Md. Nasir, Mustapha, Norwati, O. K. Rahmat, Rahmita Wirza
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
Online Access:http://psasir.upm.edu.my/id/eprint/47761/1/Feature-based%20technique%20for%20partial%20fingerprint%20matching.pdf
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author Vijayaprasad, Perumal
Sulaiman, Md. Nasir
Mustapha, Norwati
O. K. Rahmat, Rahmita Wirza
author_facet Vijayaprasad, Perumal
Sulaiman, Md. Nasir
Mustapha, Norwati
O. K. Rahmat, Rahmita Wirza
author_sort Vijayaprasad, Perumal
collection UPM
description 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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institution Universiti Putra Malaysia
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spelling upm.eprints-477612016-07-15T03:42:51Z http://psasir.upm.edu.my/id/eprint/47761/ Feature-based technique for partial fingerprint matching Vijayaprasad, Perumal Sulaiman, Md. Nasir Mustapha, Norwati O. K. Rahmat, Rahmita Wirza 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. IEEE 2011 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47761/1/Feature-based%20technique%20for%20partial%20fingerprint%20matching.pdf 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. . 10.1109/CITA.2011.5999524
spellingShingle Vijayaprasad, Perumal
Sulaiman, Md. Nasir
Mustapha, Norwati
O. K. Rahmat, Rahmita Wirza
Feature-based technique for partial fingerprint matching
title Feature-based technique for partial fingerprint matching
title_full Feature-based technique for partial fingerprint matching
title_fullStr Feature-based technique for partial fingerprint matching
title_full_unstemmed Feature-based technique for partial fingerprint matching
title_short Feature-based technique for partial fingerprint matching
title_sort feature based technique for partial fingerprint matching
url http://psasir.upm.edu.my/id/eprint/47761/1/Feature-based%20technique%20for%20partial%20fingerprint%20matching.pdf
work_keys_str_mv AT vijayaprasadperumal featurebasedtechniqueforpartialfingerprintmatching
AT sulaimanmdnasir featurebasedtechniqueforpartialfingerprintmatching
AT mustaphanorwati featurebasedtechniqueforpartialfingerprintmatching
AT okrahmatrahmitawirza featurebasedtechniqueforpartialfingerprintmatching