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In this paper a new license plates recognition method using a Neural Network, trained by Chaotic Imperialistic Algorithms (CICA), is introduced. In this paper the background of the plate image is omitted, the characters are separated, and then the features of the characters are extracted. The features vector is feed into a multi layered perception neural network trained by CICA. Our dataset include...
A preprocessing stage in every audio application including music/speech separation, speech or speaker recognition and audio transcription task is inevitable to determine each frame belongs to which classes, namely: speech only, music only and finally mixture. Such classification can significantly lower the computational complexity due to factorial search commonly used in many model-based systems including...
Modelling of Overcurrent (OC) relays with inverse time relay characteristics is a vital job for coordination of these relays. There are many publications in which the OC relay characteristics have been modelled. In this paper a new model based on cascade correlation neural network is proposed. The cascade correlation neural network is used to calculate operating times of OC relays for various Time...
This paper presents an off-line signature verification system. The verification is based on signature shape descriptors such as the skeleton, upper and lower envelopes, and the high pressure region of the signatures. Multiple multilayer perceptron neural network modules cooperating in taking a verification decision via a fuzzy integral voter are used. This method is capable of verifying simple and...
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