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In this paper we propose a feature extraction method based on brightness control of the pixels of an image using a fuzzy logic inference system. The proposed method was used in a hybrid pattern recognition system of the fingerprints, to improve the identification rate. The fuzzy extraction method preprocesses the fingerprint images and adjusts the brightness. The obtained image is input to the ensemble...
Complex algorithms usually require several computation stages. Many embedded microprocessors have not enough computational performance to resolve these algorithms in a reasonable time, so dedicated coprocessors accelerate them although the main drawback is the area devoted to them. A reconfigurable coprocessor can drastically reduce the area, since it accommodates a set of coprocessors whose execution...
In this paper a new approach for pattern recognition using wavelets, modular neural networks and fuzzy logic is presented. A new architecture for modular neural networks for achieving pattern recognition in the particular case of human faces and fingerprints is described. Also, the method for achieving response integration is based on the fuzzy Sugeno integral with some modifications for the particular...
Fingerprint recognition is one of the most common techniques used for biometric identification. Currently fingerprint technology is suitable to recognize users with high accuracy and low execution times using microprocessors able to solve algorithms with high-computational cost. However, the microprocessorpsilas cost could make the use of fingerprint biometric conditional on specific applications...
We describe in this paper a new method for response integration in ensemble neural networks with Type-1 and Type-2 Fuzzy Logic using Genetic Algorithms (GAs) for optimization. In this paper we consider pattern recognition with ensemble neural networks for the case of fingerprints. An ensemble neural network of three modules is used. Each module is a local expert on person recognition based on its...
The uniqueness of human fingerprints has been accepted by the scientific community since long time ago. Proof of this is the fact that, among all physiological characteristics, fingerprints are the oldest and most deeply used signs of identity for personal recognition. However up to date, the development of an automatic fingerprint-based human authentication system is an open research problem. Most...
Reconfigurable computing adds to the traditional hardware/software design flow a new degree of freedom in the development of electronic systems. In a system-on-chip platform, the fact that a MCU makes evolve at run-time a hardware coprocessor mapped on a FPGA, to execute thus different compute-intensive tasks in the same silicon-area, results in a clear earned value applied to the system implementation:...
Nowadays, security is becoming a real need for society and a real challenge for those everyday activities such as access control, cash terminals, public transport, Internet... where user authentication is required prior to giving access to confidential information, relevant places or restricted resources. The implementation of a reliable personal recognition system not based on vulnerable topics such...
Fingerprint biometric identification systems are widely used in applications where the security and the user's identity are considered as fundamental information. This paper shows a fingerprint image enhancement coprocessor which is specifically designed to be included in an embedded authentication system. The paper emphasizes the advantages offered by this structure against the classical solution...
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