The fast emerging highly-integrated multimedia devices require complex video/image processing tasks leading to a very challenging design process; as it demands more efficient and high processing systems. Neural networks are used in many of these imaging applications to represent the complex input-output relationships. Software implementation of these networks attain accuracy with tradeoffs betw...

This paper presents a new method of recognising hand-written postcodes using the Fuzzy ARTMAP neural network, a relatively new architecture of the neural network family. It has the capability to process in parallel as well as the ability to learn and make decisions. The image of the specially formatted envelopes are captured by a frame grabber and processed by an image processing software calle...

Recurrent neural networks have become one of the most promising methodologies to solve various difficult problems in different scientific areas, such as system identification and control, pattern recognition, image processing, modeling biological sensor-motor systems, etc. Therefore, theoretical studies on both stability and controllability of recurrent neural networks have received much attent...

Artificial neural networks have recently shown great results in many disciplines and a variety of applications, including natural language understanding, speech processing, games and image data generation. One particular application in which the strong performance of artificial neural networks was demonstrated is the recognition of objects in images, where deep convolutional neural networks are...

In many research areas, intelligent recognition and classification systems gained an important role. The reliability and the success of these systems are depend on the effectiveness of applied data preprocessing techniques and neural networks which can be used for efficient modeling of human’s visual system during the recognition or classification of patterns. Neural networks have an important ...

ANN finds its applications in various signal processing applications such as image recognition(image processing techniques),pattern recognition, system identification, different types of filters(FIR,IIR) and other control problems. In this paper, a multilayer perceptron with more than one hidden layers is considered and for the image processing application such as image recognition, A design of...

Generally, the flaw detection in automated visual inspection consists of two steps: a) identification of potential defects using image processing techniques, and b) classification of potential defects into ‘defects’ and ‘regular structures’ (false alarms) using a pattern recognition methodology. In the second step, since several features can be extracted from the potential defects, a feature se...

This article presents PAPRICA-3, a VLSI-oriented architecture for real-time processing of images and its implementation on HACRE, a high-speed, cascadable, 32-processors VLSI slice. The architecture is based on an array of programmable processing elements with the instruction set tailored to image processing, mathematical morphology, and neural networks emulation. Dedicated hardware features al...

This article presents PAPRICA-3, a VLSI-oriented architecture for real-time processing of images and its implementation on HACRE, a high-speed, cascadable, 32-processors VLSI slice. The architecture is based on an array of programmable processing elements with the instruction set tailored to image processing, mathematical morphology, and neural networks emulation. Dedicated hardware features al...