Fast Color Straight Line Pattern Recognition in an Object Using High Speed Self Learning Devices

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Rasiq S.M.; Krishnakumar S.

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF ENGINEERING Year:2021 | Volume:34 | Issue:5 Page(s): 1225-1232

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Information Journal Paper

Title

Fast Color Straight Line Pattern Recognition in an Object Using High Speed Self Learning Devices

Author(s)

Rasiq S.M. | Krishnakumar S. | Issue Writer Certificate

Keywords

Rasiq Krishnakumar Algorithm

Rasiq Krishnakumar Device

Fast Object Recognition

Color Straight Line Pattern

Abstract

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.

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