Identification of Non-Black Inks Using HSV Colour Space

Dasari, Haritha; Bhagvati, Chakravarthy

doi:10.1109/icdar.2007.4378757

Cited by 16 publications

(21 citation statements)

References 7 publications

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“…The HSV colour space is a truer measure of colour in printed documents than RGB when converting to grayscale, as it separates the intensity (luminance), and colour information chromacity [25,26]. The YIQ colour space is used, the Y or 'luminance' channel is used for analysis of colour characteristics through histogram comparison [27].…”

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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Section: A Featuresmentioning

confidence: 99%

Currency security and forensics: a survey

Chambers

Yan

Garhwal

et al. 2014

Multimed Tools Appl

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“…In a later work, the same authors consider co-occurrence matrices of ink intensities as models of the joint probability of adjacent ink pixels in order to represent the spreading behavior of writing inks and classify eight specific ink compositions (Kokla et al 2007). Dasari and Bhagvati used an 11-dimensional color and texture vector to derive within-class and betweenclass distance distributions for text written with ball and gell/roller pens (Dasari and Bhagvati 2007). Another approach is to capture the physical characteristics of liquid inks.…”

Section: Introductionmentioning

confidence: 99%

Near-Infrared Ink Differentiation in Medieval Manuscripts

et al. 2011

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One of the tasks facing historians and preservationists is the authentication or dating of medieval manuscripts. To this end it is important to verify whether writings on the same or different manuscripts are concurrent. We propose a novel approach for the automated image-based differentiation of inks used in medieval manuscripts. We consider the problem of capturing images of manuscript pages in near-infrared (NIR) spectrum and compare the ink appearance and textural features of segmented text. We present feature descriptors that capture the variability of the visual properties of the inks in NIR based on intensity distributions of histograms and co-occurrence matrices. Our approach is novel as it is entirely image based and does not include the spectrum analysis of the inks. The method is validated by using model ink images manufactured based on known recipes and ink segmented from medieval manuscripts dated from the 11th to the 16th century. Model inks are classified by using both supervised and unsupervised clustering. Comparison of inks of unknown composition is achieved through unsupervised multi-dimensional clustering of the feature descriptors and similarity measures of derived probability density functions.

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“…In a later work, the same authors consider co-occurrence matrices of ink intensities as models of the joint probability of adjacent ink pixels in order to represent the spreading behaviour of writing inks and classify eight specific ink compositions [6]. Dasari and Bhagvati used an 11-dimensional colour and texture vector to derive withinclass and between-class distance distributions for text written with ball and gell/roller pens [2]. Another approach is to capture the physical characteristics of liquid inks.…”

Section: Introductionmentioning

confidence: 99%