Prompt Indian Coin Recognition with Rotation Invariance Using Image Subtraction Technique

Gupta, Vaibhav; Puri, Rachit; Verma, Monir

doi:10.1109/icdecom.2011.5738496

Cited by 11 publications

(4 citation statements)

References 8 publications

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“…Substantial work has been put into it; however, in current practice segmentation is mostly done using basic image processing algorithms such as thresholding and Hough transform. Also, the coin segmentation problem is mainly developed for specific coin types [6,7]. Therefore, a generic algorithm to accurately segment all coin types is required.…”

Section: Coverage Measurementmentioning

confidence: 99%

Automatic coverage measurement of shot peened panels

Shahid¹

2021

Preprint

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Shot peening is the process of treating metallic surfaces with a regulated blast of shots to increase material strength and durability. Determining the coverage level of the shots is an important parameter in the assessment of the quality of treatment. Traditionally, coverage measurement is performed manually using a magnifying glass, which leads to inefficiency. Despite the proposal for the use of image segmentation techniques for determining the coverage measurement, literature on this topic is not extensively developed. In this thesis, various relevant image segmentation techniques are investigated including thresholding, edge detection, watershed segmentation, active contour, graph cut and neural network. The aim is to develop a generic coverage measurement algorithm, which is accurate and robust to variations in illumination, shot type, coverage level and has real-time capabilities using a simple experimental setup. The results obtained from each method are discussed and compared against a set of relevant performance criteria.

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Section: Coverage Measurementmentioning

confidence: 99%

Automatic coverage measurement of shot peened panels

Shahid¹

2021

Preprint

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“…The algorithms used in this paper show the recognition accuracy rate of 74.27%. Vaibhav Gupta et al presented in 2011 [15] an approach based on image subtraction method for recognition of Indian modern coins. In this approach scheme performs 3 checks (radius, coarse as well as fine) on the input coin image.…”

Section: A Approaches For Indian Modern Coinsmentioning

confidence: 99%

Coin Recognition and Classification: A Review

Waghulde¹

2017

IJRASET

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Coins are a primary need of human life. They are used in everyone's daily routine, like banks, transport, market and these spare changes also has various other uses than realization traded in for cash similar to measurement purpose, in games (toss), in organizations for research point, etc. So, it holds a vast significance that coins can be detected with high accuracy. Main aim of a coin recognition system is to classify high volumes of coins with high accuracy within short time duration. In this paper we discussed a various techniques of coin recognition systems in respective terms of their accuracy. Also focused on different coin recognition approaches have been planned by different researchers based on image recognition method. Categorization is based on images from both sides as well as a radius of the coin.

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“…In 2011 [22] Vaibhav Gupta et al presented an approach based on image subtraction technique for recognition of Indian coins. In this approach system performs 3 checks (radius, coarse and fine) on the input coin image.…”

Section: Approaches For Modern Coinsmentioning

confidence: 99%

Image Processing based Systems and Techniques for the Recognition of Ancient and Modern Coins

Modi¹,

Bawa²

2012

IJCA

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Coins are frequently used in everyday life at various places like in banks, grocery stores, supermarkets, automated weighing machines, vending machines etc. So, there is a basic need to automate the counting and sorting of coins. For this machines need to recognize the coins very fast and accurately, as further transaction processing depends on this recognition. Three types of systems are available in the market: Mechanical method based systems, Electromagnetic method based systems and Image processing based systems. This paper presents an overview of available systems and techniques based on image processing to recognize ancient and modern coins.

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Prompt Indian Coin Recognition with Rotation Invariance Using Image Subtraction Technique

Cited by 11 publications

References 8 publications

Automatic coverage measurement of shot peened panels

Automatic coverage measurement of shot peened panels

Coin Recognition and Classification: A Review

Image Processing based Systems and Techniques for the Recognition of Ancient and Modern Coins

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