TY - JOUR ID - 129350 TI - Fast Color Straight Line Pattern Recognition in an Object Using High Speed Self Learning Devices JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Rasiq, S. M. AU - Krishnakumar, S. AD - School of Technology and Applied Sciences, Mahatma Gandhi University Regional Centre, Edappally, Kochi, India Y1 - 2021 PY - 2021 VL - 34 IS - 5 SP - 1225 EP - 1232 KW - Rasiq Krishnakumar Algorithm KW - Rasiq Krishnakumar Device KW - Fast Object Recognition KW - Color Straight Line Pattern DO - 10.5829/ije.2021.34.05b.15 N2 - Most of the man-made objects are having some straight lines with colors. A very high-speed object recognition method using color straight line patterns is carried out using a novel self-learning device (RKD - Rasiq Krishnakumar Device). Instead of that Artificial Neural Networks (ANN), RKD based networks are used for different steps in this pattern classification. The color and straight-line features are extracted by using high-speed color segmentation and fast efficient straight-line segment extraction methods using the RKD based systems. The training and the testing algorithms of the pattern classification are using RKD-based processing. The fast color features extraction method uses an array of RKD-based devices and the fast efficient straight-line segment extraction method employs an array of processing elements and a main control unit. Some fusion devices are used for a straight line with colors features. The area of interest and the area of line segments of a particular object are other features for improving the accuracy of object classification. UR - https://www.ije.ir/article_129350.html L1 - https://www.ije.ir/article_129350_6658cb64f3cd284eab0f3f835722f9e6.pdf ER -