Color Feature Based Approach for Determining Ink Age in Printed Documents

Halder, Biswajit; Garain, Utpal

doi:10.1109/icpr.2010.785

Cited by 8 publications

(2 citation statements)

References 2 publications

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“…Halder and Garain [20] proposed a colour‐based approach for determining ink age in printed documents. This method uses the same colour features as above for printed text images.…”

Section: Related Workmentioning

confidence: 99%

Forged text detection in video, scene, and document images

et al. 2020

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Rapid advances in artificial intelligence have made it possible to produce forgeries good enough to fool an average user. As a result, there is growing interest in developing robust methods to counter such forgeries. This study presents a new Fourier spectrum‐based method for detecting forged text in video images. The authors' premise is that brightness distribution and the spectrum shape exhibit irregular patterns (inconsistencies) for forged text, while appearing more regular for original text. The method divides the spectrum of an input image into sectors and tracks to highlight these effects. Specifically, positive and negative coefficients for sectors and tracks are extracted to quantify the brightness distribution. Variations in the shape of the spectrum are analysed by determining the angular relationship between the principal axes and the sectors/tracks of the spectrum. Next, it combines these two features to detect forged text in the images of IMEI (International Mobile Equipment Identity) numbers and document. For evaluation, the following datasets are used: own video dataset and standard datasets, namely, IMEI number, ICPR 2018 Fraud Document Contest, and a natural scene text dataset. Experimental results show that the proposed method outperforms existing methods in terms of average classification rate and F‐score.

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“…Halder and Garain [20] proposed a colour‐based approach for determining ink age in printed documents. This method uses the same colour features as above for printed text images.…”

Section: Related Workmentioning

confidence: 99%

Forged text detection in video, scene, and document images

et al. 2020

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“…A promising non-destructive novel approach to automated determination of ink age is provided by using a Region Of Interest (ROI) [12]. The ROI is sampled across similar documents to determine loss in hue of both the RGB and HSV colour spaces, results are promising.…”

Section: A Featuresmentioning

confidence: 99%

Currency security and forensics: a survey

Chambers

Yan

Garhwal

et al. 2014

Multimed Tools Appl

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Abstract-By its definition, the word 'currency' refers to an agreed medium for exchange, a nation's currency is the formal medium enforced by the elected governing entity. Throughout history, issuers have faced one common threat: counterfeiting. Despite technological advancements, overcoming counterfeit production remains a distant future. Scientific determination of authenticity requires a deep understanding of the raw materials and manufacturing processes involved. This survey serves as a synthesis of the current literature to understand the technology and the mechanics involved in currency manufacture and security, whilst identifying gaps in the current literature. Ultimately, a robust currency is desired.

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