Chinese Coin Recognition Based on Unwrapped Image and Rotation Invariant Template Matching

Chen, Huahua

doi:10.1109/icinis.2010.10

Cited by 13 publications

(4 citation statements)

References 6 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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“…Rotation Invariant Template Matching. Proposed by Chen at Hangzhou Dianzi University, China, this approach is executed using registration points of polar images [12]. Coin images were first 'unwrapped' by converting Cartesian coordinates into polar coordinates, resulting in polar images.…”

Section: Various Approaches For Pattern Recognition and Classificatio...mentioning

confidence: 99%

Approaches in Pattern Recognition and Classification Based on Coin Images

Wong

Shukran

Lee

2014

AMM

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This paper discusses the various texture-based and vector-based approaches to classify coins.These two types of approaches are common for software-based coin sorting systems. Many researchers have applied algorithms known in artificial intelligence research for feature extraction, selection and classification of coin images. However, without a common benchmark, it is difficult to assess the accuracy, robustness and efficiency of the coin sorting systems across the different approaches. It is proposed that the use of a standard benchmark image databank such as the CIS Benchmark will allow a more objective and accurate comparison of the performance of these coin classification approaches.

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“…In 2010 [21] Huahua Chen presented an approach for Chinese coin recognition based on unwrapped image and rotation invariant template matching. In this approach first of all coin segmentation is done using Hough transform then the segmented image is unwrapped.…”

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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Chinese Coin Recognition Based on Unwrapped Image and Rotation Invariant Template Matching

Cited by 13 publications

References 6 publications

Automatic coverage measurement of shot peened panels

Automatic coverage measurement of shot peened panels

Approaches in Pattern Recognition and Classification Based on Coin Images

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

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