A novel and secure methodology for keyless ignition and controlling an automobile using air gestures

Rupanagudi, Sudhir Rao; Bhat, Varsha G.; Radhakrishnan, Supriya; Dubey, Riya; Sukumar, Suma; Karmarkar, Srabanti; S, Amulya K; Raman, Ankita; Indrani, Devika; Srisai, Abhiram; Rajagopalan, Mahathy; Venkatesh, V. Naga; Jain, Nupur

doi:10.1109/icacci.2016.7732246

Cited by 9 publications

(2 citation statements)

References 35 publications

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“…The pixel lying at coordinate (6,6) is considered as the centre pixel. As per the definition of binary dilation [31], if any of the neighboring pixels is white, then the center pixel is made white, irrespective of its previous state. In case of absence of a white pixel in the neighborhood, the center pixel is retained as it is.…”

Section: F Morphological Closingmentioning

confidence: 99%

FPGA and MATLAB Based Solution for Retinal Exudate Detection

Satyananda*,

K V,

Karibasappa

2020

IJRTE

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Now-a-days, image processing is extensively used for analysis of several biomedical images to identify the complications in one’s health. Most of the solutions offered are based on application software. Since these solutions are expensive, an embedded system approach is being explored in the recent years, considering its cost-effectiveness. This paper propounds an embedded system approach to identify exudates in retinal images. These exudates are often identified as indicators of a medical disorder known as Diabetic Retinopathy, which is one of the medical complications that arise due to high blood sugar levels. The algorithm employs statistical analysis using histogram to enhance the contrast of the images, thus assisting in extracting exudates by utilising the elementary concepts of image processing. Since the pixel characteristics of exudates and optic disk match, it becomes inevitable to first eliminate optic disk from retinal images, and then extract exudates. The prototype has been developed on MATLAB and is downloaded on an Artix 7 FPGA with minimal usage of its resources. The system proposed in this paper results in an accuracy of 90%.

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Section: F Morphological Closingmentioning

confidence: 99%

FPGA and MATLAB Based Solution for Retinal Exudate Detection

Satyananda*,

K V,

Karibasappa

2020

IJRTE

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“…Since the advent of 21 st century, technology has been evolving in almost all fields known to mankind. Be it different types of user interfaces [1] or traffic assistance [2,3] or even security [4,5], many algorithms are being proposed using the concepts of image processing. One such area of interest is biometric system.…”

Section: Introductionmentioning

confidence: 99%

Vein Pattern Extraction: A Review

Kavya¹,

Anuradha²

2017

IJERT

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Person identification and authentication using the biological features of the person are designed and are in use all around the world. There are different types of biometric authentication system one such medium which is very new technique of the systems are vein pattern recognition system .This vein pattern recognition system can be designed using different algorithms. In this paper, the surveys of different algorithms which are implemented for vein pattern extraction are done.

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