- Dario Maio is Full Professor of Information Systems in the Department of Computer Science and Engineering (DISI) at t... moreDario Maio is Full Professor of Information Systems in the Department of Computer Science and Engineering (DISI) at the University of Bologna, Italy. He was Chair of the Cesena Campus from 2001 to 2007; he is Director of the Biometric Systems Laboratory and coordinator of the Smart City Lab. He has devoted his research work to various aspects of Computer Science, including distributed computer systems, computer performance evaluation, database design, information systems, neural networks, autonomous agents, pattern recognition and biometric systems. He has published about 200 research papers, and his activity is the result of an extensive cooperation with several research institutions and industries. He extensively served as referee for a number of international journals. His applied works consist of a long list of various consultancy projects, within contracts between University of Bologna and public and private corporations. His recent research interests are mainly directed towards the areas of biometric systems and ICT technologies for smart cities. He is coauthor of the Handbook of Fingerprint Recognition - Springer 2003 - II edition 2009 (received the PSP award from the Association of American Publishers) and coeditor of the book Biometric Systems, Technology, Design and Performance Evaluation, Springer 2005. He is co-inventor of three patents in the area of fingerprint recognition and two patents in the area of artificial vision. Prior to join the University of Bologna, he received a fellowship from the C.N.R. (Italian National Research Council) for working on the Air Traffic Control Project. He received a degree in Electronic Engineering from the University of Bologna in 1975. He is a member of ACM, IEEE and IAPR.edit
Page 1. 1 VISIONARY: a Viewpoint-Based Visual Language for Querying Relational DatabasesFRANCESCA BENZI, DARIO MAIO, STEFANO RIZZI DEIS, Università di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy e-mail:... more
Page 1. 1 VISIONARY: a Viewpoint-Based Visual Language for Querying Relational DatabasesFRANCESCA BENZI, DARIO MAIO, STEFANO RIZZI DEIS, Università di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy e-mail: {dmaio|srizzi}@deis.unibo.it Abstract ...
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Research Interests: Relational Database, Design, Linear Programming, Integer Programming, Performance, and 20 moreData and Knowledge Modeling, Optimization, Optimization Problem, Conception, Indexing, Index, Branch and Bound, Design optimization, Physical Design, Approximate Algorithm, Integer Linear Programming, Indexation, Large Scale, Relational databases, NP hard, Indexes, Database theory, Exact solution methods, Heuristic algorithm, and Optimal Solution
A wavelet-based image watermarking scheme is proposed, based on the insertion of pseudo-random codes in the frequency domain. The original image is required for the watermark detection. The “strength” of the signature to be embedded... more
A wavelet-based image watermarking scheme is proposed, based on the insertion of pseudo-random codes in the frequency domain. The original image is required for the watermark detection. The “strength” of the signature to be embedded depends on the image to be marked, thus fitting signal capacity. The experimental results prove that the method is more tamper resistant and less perceptible for any type of images than other well-known private methods in the frequency domains
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Research Interests: Information Systems, Algorithms, Artificial Intelligence, Photography, Pattern Recognition, and 16 moreBiometrics, Competition, Biometry, Performance Evaluation, Dermatoglyphics, Humans, Fingerprint, Data Collection, Skin, Fingerprint Recognition, Reproducibility of Results, Sensitivity and Specificity, Fingers, Electrical And Electronic Engineering, FVC, and Pattern analysis
We address the problem of performance evaluation in biometric verification systems. By formulating the optimum Bayesian decision criterion for a verification system and by assuming the data distributions to be multinormals, we derive two... more
We address the problem of performance evaluation in biometric verification systems. By formulating the optimum Bayesian decision criterion for a verification system and by assuming the data distributions to be multinormals, we derive two statistical expressions for calculating theoretically the false acceptance and false rejection rates. Generally, the adoption of a Bayesian parametric model does not allow for obtaining explicit
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Research Interests: Information Systems, Algorithms, Artificial Intelligence, Biometrics, Biometry, and 13 moreSafety, Dermatoglyphics, Humans, Image Reconstruction, Fingerprint, Feature Extraction, Minutiae, Fingerprint Recognition, Image Enhancement, Reproducibility of Results, Sensitivity and Specificity, Electrical And Electronic Engineering, and Pattern analysis
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... [27][28] define a technique for fingerprint enhancement and binarization ... In their work, an interesting technique for improving the binary image ob-tained is introduced ... Mehtre [20] describes a complete Automating Fingerprint... more
... [27][28] define a technique for fingerprint enhancement and binarization ... In their work, an interesting technique for improving the binary image ob-tained is introduced ... Mehtre [20] describes a complete Automating Fingerprint Identification System (AFIS) which includes a useful en ...
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This work complements our previous efforts in generating realistic fingerprint images for test purposes. The main variability which characterizes the acquisition of a fingerprint through an on-line sensor is modeled and a sequence of... more
This work complements our previous efforts in generating realistic fingerprint images for test purposes. The main variability which characterizes the acquisition of a fingerprint through an on-line sensor is modeled and a sequence of steps is defined to derive a series of impressions from the same master-fingerprint. This allows large fingerprint databases to be randomly generated according to some given
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Since the 1950s, when the first algorithms for automated fingerprint recognition were developed by the US Federal Bureau of Investigation (FBI), several efforts have been made to provide effective methods for forensic/civil applications... more
Since the 1950s, when the first algorithms for automated fingerprint recognition were developed by the US Federal Bureau of Investigation (FBI), several efforts have been made to provide effective methods for forensic/civil applications and for a wide range of security tasks. Nowadays, ...
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... A great deal of work has been dedicated to fingerprint enhancement and to minutiae extraction (see for ... evident the well known termination/bifurcation duality: that is, the negative image of a ... [3] F. Pernus, S. Kovacic and L.... more
... A great deal of work has been dedicated to fingerprint enhancement and to minutiae extraction (see for ... evident the well known termination/bifurcation duality: that is, the negative image of a ... [3] F. Pernus, S. Kovacic and L. Gyergyek, Minutiae based fingerprint recognition, proc. ...
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... first time in [8] by Grasselli, as well as many approaches for the enhancement, minutiae detection ... al., Segmentation of fingerprint images using the directional image, Pattem Recognition, v. 20, ... F. Pemus, S. Kovacic and L.... more
... first time in [8] by Grasselli, as well as many approaches for the enhancement, minutiae detection ... al., Segmentation of fingerprint images using the directional image, Pattem Recognition, v. 20, ... F. Pemus, S. Kovacic and L. Gyergyek, Minutiae based fingerprint recognition, proc ...
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Research Interests: Information Systems, Approximation Theory, Principal Component Analysis, Pattern Recognition, Face Recognition, and 12 moreDimensionality Reduction, Image Reconstruction, Clustering, Unsupervised Learning, Feature Extraction, Pca, Scalability, Data Distribution, Linearity, Multidimensional Systems, Electrical And Electronic Engineering, and Karhunen Loeve Transform
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A new technology evaluation of fingerprint verification algorithms has been organized following the approach of the previous FVC2000 and FVC2002 evaluations, with the aim of tracking the quickly evolving state-of-the-art of fingerprint... more
A new technology evaluation of fingerprint verification algorithms has been organized following the approach of the previous FVC2000 and FVC2002 evaluations, with the aim of tracking the quickly evolving state-of-the-art of fingerprint recognition systems. Three sensors have been used for data collection, including a solid state sweeping sensor, and two optical sensors of different characteristics. The competition included a new category dedicated to ”light” systems, characterized by limited computational and storage resources. This paper summarizes the main activities of the FVC2004 organization and provides a first overview of the evaluation. Results will be further elaborated and officially presented at the International Conference on Biometric Authentication (Hong Kong) on July 2004.
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This paper explores several ways of combining the MASKS and MKL-based classifiers which we specifically designed for the fingerprint classification task. The advantages of coupling these distinct techniques are well evident; in... more
This paper explores several ways of combining the MASKS and MKL-based classifiers which we specifically designed for the fingerprint classification task. The advantages of coupling these distinct techniques are well evident; in particular, in the case of exclusive classification, the FBI challenge requiring a classification error ≤1% at 20% rejection was broken on NIST-DB14.
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... 134 3.6.3 Multi-resolution enhancement..... ... 167 4.2 Correlation-Based Techniques..... 172 4.3 Minutiae-Based Methods..... ... 318 7.6 Image-Level Fusion ...
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The problem of organizing and exploiting spatial knowledge for navigation is an important issue in the field of autonomous mobile systems. In particular, partitioning the environment map into connected clusters allows for significant... more
The problem of organizing and exploiting spatial knowledge for navigation is an important issue in the field of autonomous mobile systems. In particular, partitioning the environment map into connected clusters allows for significant topological features to be captured and enables decomposition of path-planning tasks through a divide-and-conquer policy. Clustering by discovery is a procedure for identifying clusters in a map
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This paper introduces a plastic distortion model to cope with the nonlinear deformations characterizing fingerprint images taken with online acquisition sensors. The problem has a great impact on several practical applications, ranging... more
This paper introduces a plastic distortion model to cope with the nonlinear deformations characterizing fingerprint images taken with online acquisition sensors. The problem has a great impact on several practical applications, ranging from the design of robust fingerprint matching algorithms to the generation of synthetic fingerprint images. The experimentation on real data validates the model and demonstrates its efficacy in registering minutiae data from highly distorted fingerprint samples.