Giovanni Dimauro
University of Bari
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Featured researches published by Giovanni Dimauro.
International Journal of Pattern Recognition and Artificial Intelligence | 1997
Giovanni Dimauro; Sebastiano Impedovo; Giuseppe Pirlo; A. Salzo
A new bankcheck processing system is presented in this paper. A full exploitation of the contextual knowledge, together with a multi-expert approach, have been used both to analyze the complex shape of handwritten text and to design the system. Several processing modules have been integrated in the system. Some of the most relevant are those for data acquisition, preprocessing, machine-printed numeral recognition, layout analysis, courtesy amount recognition, legal amount recognition, amount validation, and signature verification. Some combination techniques have also been used in the system. Reuse and maintenance of the system were two of the main goals of the designing process and the Khoros software tool was used for this purpose.
international conference on frontiers in handwriting recognition | 2004
Giovanni Dimauro; Sebastiano Impedovo; M. G. Lucchese; Raffaele Modugno; Giuseppe Pirlo
This paper presents some of the main strategies for dynamic and static verification of handwritten signatures and focuses the most promising directions of scientific research, starting from the analysis of the literature of the last decade.
International Journal of Pattern Recognition and Artificial Intelligence | 1997
Giovanni Dimauro; Sebastiano Impedovo; Giuseppe Pirlo; A. Salzo
In this paper a multi-expert signature verification system is presented. The system has been specifically designed for applications in the field of bankcheck processing. For this purpose, it combines three different algorithms for signature verification. A wholistic approach is used in the first algorithm, a component-oriented approach is used in the second and third algorithms. The second algorithm is based on a structure-based procedure, the third algorithm uses a highly-adaptive neural network. The three algorithms are combined in the multi-expert system by a voting strategy.
IEEE Transactions on Computers | 1993
Giovanni Dimauro; Sebastiano Impedovo; Giuseppe Pirlo
A technique for number comparison in the residue number system is presented, and its theoretical validity is proved. The proposed solution is based on using a diagonal function to obtain a magnitude order of the numbers. In a first approach the function is computed using a suitable extra modulus. In the final implementation of the technique the extra modulus has been inserted in the set of moduli of the residue system, avoiding redundancy. The technique is compared with other approaches. >
international conference on frontiers in handwriting recognition | 2002
Giovanni Dimauro; Sebastiano Impedovo; Raffaele Modugno; Giuseppe Pirlo; L. Sarcinella
This paper presents a new technique to evaluate the local stability in hand-written dynamic signatures and use the results to improve the process of automated signature verification. The experimental results points out the usefulness of integrating stability, information into the signature verification process.
international conference on document analysis and recognition | 1999
V. Di Lecce; Giovanni Dimauro; Andrea Guerriero; Sebastiano Impedovo; Giuseppe Pirlo; A. Salzo; L. Sarcinella
This paper presents an effective procedure to select the reference specimens for a signature verification system. Specifically, from the analysis of local stability in handwritten signatures, a suitable measure is proposed to determine the capability of different sets of signatures in supporting effective verification. The measure uses a correlation-based criterium which detects and recovers non-linear time distortions in different specimens. In the experimental test, the selected set of signatures has been used for reference in a system for dynamic signature verification based on a multi-expert verification strategy. The experimental results points out the capability of the new technique in selecting effective reference signatures.
International Journal of Pattern Recognition and Artificial Intelligence | 1994
Giovanni Dimauro; Sebastiano Impedovo; Giuseppe Pirlo
Signing is a complex and highly variable process. It results from simple bodily motions of a ballistic nature whose combined effects produce the fundamental components of the signature. Therefore, ...
multiple classifier systems | 2000
Vincenzo Di Lecce; Giovanni Dimauro; Andrea Guerriero; Sebastiano Impedovo; Giuseppe Pirlo; A. Salzo
This paper presents a multi-expert system for dynamic signature verification. The system combines three experts whose complementar behaviour is achieved by using both different features and verification strategies. The first expert uses shape-based features and performs signature verification by a wholistic analysis. The second and third expert uses speedbased features and performs signature verification by a regional analysis. Finally, the verification responses provided by the three experts are combined by majority voting.
international conference on frontiers in handwriting recognition | 2002
Giovanni Dimauro; Sebastiano Impedovo; Raffaele Modugno; Giuseppe Pirlo
This paper presents a new database for off-line handwriting recognition. The database, that is particularly devoted to research on bank-check recognition, up to now includes instances of isolated digits and characters, basic words of worded amounts, and signatures. Pattern images are stored using a standard image format, and hence they are easily usable by several commercial and scientific image processing packages.
international conference on image analysis and processing | 1995
G. Congedo; Giovanni Dimauro; A. M. Forte; Sebastiano Impedovo; Giuseppe Pirlo
Personal stability in signing in one of the key factors for high-accuracy signature verification. In this paper the local stability of a dynamic signature is measured. The acccuracy of an on-line signature verification system is improved by selecting, among a set of specimens available, the subset of reference signatures which is near-optimal for different signature representation domains in terms of impostor-acceptance error rate.