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Picture Recognition by Using Linear Associative Memory Neural Network | ||
| Tikrit Journal of Pure Science | ||
| Article 1, Volume 13, Issue 3, 2008, Pages 266-273 | ||
| Author | ||
| Raid R. Al-nima | ||
| Abstract | ||
| This project aims to design a computerized system to recognize personal peoples pictures for security purposes by applying Linear Associative Memory (LAM) neural network techniques . First the picture will be segmented into 100 parts , then a standard Deviation (STD) will compute for every part . Then the weights and output values will be stored in a text file to be used later in LAM identification . The Linear Associative Memory network attained to (False Acceptance Rate = 0% - False Rejection Rate = 0%) . The system is built using SCANER device , Pentium 4 with SVGA display adapter and sounds amplifier . The software program handles images of type JPG format ; it programmed under MATLAB ver. 6.5 or 7. | ||
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