Identification and Recognition of face and number Plate for Autonomous and Secure Car Parking

Kakran, Aryan; Anchal,; Chirag,; Chaudhary, Himanshu; Kumar, Praveen; Sharma, Abhishek; Singh, Harpriet

doi:10.1109/piecon56912.2023.10085910

Cited by 1 publication

(1 citation statement)

References 22 publications

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“…Image edge detection is a critical technology in the field of digital image processing. This technique is applied in various domains such as fingerprint detection [1][2][3], face recognition [4][5][6], image segmentation [7][8][9][10], and more. Hence, the precision of edge detection is a crucial aspect of applications that rely on edge detection.…”

Section: Introductionmentioning

confidence: 99%

Image Edge Detection Based on Fractional-Order Ant Colony Algorithm

Liu

2023

Fractal Fract

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Edge detection is a highly researched topic in the field of image processing, with numerous methods proposed by previous scholars. Among these, ant colony algorithms have emerged as a promising approach for detecting image edges. These algorithms have demonstrated high efficacy in accurately identifying edges within images. For this paper, due to the long-term memory, nonlocality, and weak singularity of fractional calculus, fractional-order ant colony algorithm combined with fractional differential mask and coefficient of variation (FACAFCV) for image edge detection is proposed. If we set the order of the fractional-order ant colony algorithm and fractional differential mask to ν = 0 , the edge detection method we propose becomes an integer-order edge detection method. We conduct experiments on images that are corrupted by multiplicative noise, as well as on an edge detection dataset. Our experimental results demonstrate that our method is able to detect image edges, while also mitigating the impact of multiplicative noise. These results indicate that our method has the potential to be a valuable tool for edge detection in practical applications.

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Section: Introductionmentioning

confidence: 99%

Image Edge Detection Based on Fractional-Order Ant Colony Algorithm

Liu

2023

Fractal Fract

View full text Add to dashboard Cite

show abstract

Identification and Recognition of face and number Plate for Autonomous and Secure Car Parking

Cited by 1 publication

References 22 publications

Image Edge Detection Based on Fractional-Order Ant Colony Algorithm

Image Edge Detection Based on Fractional-Order Ant Colony Algorithm

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