[PDF][PDF] Efficient Numeral VG-RAM Pattern Recognition Using Manhattan Distance Calculation and Minimization Algorithm
BIBI Baghdad–Iraq, IA Hashim, JWA Sadah, TR Saeed - researchgate.net
Pattern recognition is one of the important tools in the automation industry. Many techniques
have been used to achieve this task. One of these techniques is the Virtual Generalizing
Random Access Memory (VG-RAM). The weakness of this technique appears when the
input is not binary. Therefore, to overcome the VG-RAM weakness, the Manhattan distance
has been used instead of Hamming distance in this paper. Also, a reduction in the
classification time was achieved using a minimization algorithm. The combination of these …
have been used to achieve this task. One of these techniques is the Virtual Generalizing
Random Access Memory (VG-RAM). The weakness of this technique appears when the
input is not binary. Therefore, to overcome the VG-RAM weakness, the Manhattan distance
has been used instead of Hamming distance in this paper. Also, a reduction in the
classification time was achieved using a minimization algorithm. The combination of these …