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Research article summary:
On learning to estimate the block directional image of a fingerprint using a hierarchical neural network.
Abstract Extract:
This paper presents a hierarchical neural network architecture for computing fingerprints block directional images. Two separately trained neural networks are connected in series. First, the fingerprint image is divided into 16x16 blocks, each block is ... (Full abstract text below) Published 2003Jan
in Journal: Neural Netw
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. Neural Netw.
2003 Jan;16(1):133-44
On learning to estimate the block directional image of a fingerprint using a hierarchical neural network.
Nagaty KA
Faculty of Computer Sciences and Information Systems, Ain-Shams University, Cairo, Egypt. khaled_nagaty@hotmail.com
This paper presents a hierarchical neural network architecture for computing fingerprints block directional images. Two separately trained neural networks are connected in series. First, the fingerprint image is divided into 16x16 blocks, each block is submitted to the first network which is a back propagation neural network. It has four counters in its output layer one for each direction to count the main directional codes in each fingerprint block. The output of this network is considered the feature vector for the fingerprint block, which is then submitted to the second network. The second network is a self-organized feature maps neural network uses an unsupervised learning strategy to group the fingerprint blocks into distinct directional classes. In this scheme, there is more than one sub-class for each directional class, an agglomerative hierarchical cluster algorithm for merging two clusters is used to merge two classes if their corresponding distances are below a specified threshold. Results obtained with a real world data set indicate the effectiveness of the proposed architecture.
PMID : 12576112 [PubMed - Indexed for MEDLINE]
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Full Author Information
| First Name | LastName | Initials |
| Khaled Ahmed | Nagaty | KA |
Affiliation: Faculty of Computer Sciences and Information Systems, Ain-Shams University, Cairo, Egypt. khaled_nagaty@hotmail.com
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Category links from this article:- Algorithms
- Artificial Intelligence
- Cluster Analysis
- Dermatoglyphics - classification
- Humans
- Image Processing, Computer-Assisted
- Neural Networks (Computer)
- Pattern Recognition, Automated
- Reproducibility of Results
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