Loading...
Please wait, while we are loading the content...
Similar Documents
Fpga Implementation of Adaptive Integrated Spiking Neural Network for Efficient Image Recognition System
| Content Provider | Semantic Scholar |
|---|---|
| Author | Pasupathi, T. Raj, A. Arockia Bazil Arputhavijayaselvi, J. |
| Copyright Year | 2014 |
| Abstract | Image recognition is a technology which can be used in various applications such as medical image recognition systems, security, defense video tracking, and factory automation. In this paper we present a novel pipelined architecture of an adaptive integrated Artificial Neural Network for image recognition. In our proposed work we have combined the feature of spiking neuron concept with ANN to achieve the efficient architecture for image recognition. The set of training images are trained by ANN and target output has been identified. Real time videos are captured and then converted into frames for testing purpose and the image were recognized. The machine can operate at up to 40 frames/sec using images acquired from the camera. The system has been implemented on XC3S400 SPARTAN-3 Field Programmable Gate Arrays. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ictactjournals.in/paper/IJIVP_V4_I4_Paper_9_848_852.pdf |
| Alternate Webpage(s) | http://ictactjournals.in/paper/IJIVP_Paper_9-848_852.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Artificial neural network Computer vision Field-programmable gate array Frame (physical object) Medical Records Systems, Computerized Neural Network Simulation Neuron Spiking neural network Video tracking videocassette |
| Content Type | Text |
| Resource Type | Article |
