• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.124-131
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• 2018

This study aimed to compare effectiveness of fluorescent reagents for enhancing blood such as acid yellow 7, rhodamine 6G, eosin Y. AY7 and eosin Y have been introduced in Korea as fluorescent reagents for enhancing blood, but not rhodamine 6G. In this study, researchers photographed when each reagents gave the most effective results. Consequently, rhodamine 6G was superior to the others. Eosin Y enhanced bloody fingermarks weakly compared to AY7 and rhodamine 6G. Furthermore, the more depletion trials were done, the less effectiveness were shown. Therefore, researchers recommended that crime scene investigators try to use rhodamine 6G fluorescent reagents for enhancing blood.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.249-256
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• 2019

Lueco-crystal violet(LCV) is a very effective reagent used to enhance bloodstain. However, when the LCV is treated to the bloody fingerprint, the bubbling occurs, so that the minutiae and features of the fingerprint can be damaged. In this study, we studied a method to reduce the bubbling of LCV. As a result, the most effective method for reduction bubbling and enhancement bloodstain was to treat ethanol-based aminotriazole(AT) solution before LCV treatment.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.474-480
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• 2016

Bloody fingerprints are important in many cases - especially in murder case. This study compared effectiveness of some reagents which had better quality of developing bloody fingerprints from human skin. Leuco crystal violet(LCV), hungarian red, amido black, coomassie blue, acid violet17, and crowle's double stain were used. Fingerprints were generated in the depletion series, and tissue method was used in applying all reagents. LCV showed the best result in this study.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.2
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• pp.1-9
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• 2008

As the security requirements of mobile phones have been increasing, there have been extensive researches using one biometric feature (e.g., an iris, a fingerprint, or a face image) for authentication. Due to the limitation of uni-modal biometrics, we propose a method that combines face and iris images in order to improve accuracy in mobile environments. This paper presents four advantages and contributions over previous research. First, in order to capture both face and iris image at fast speed and simultaneously, we use a built-in conventional mega pixel camera in mobile phone, which is revised to capture the NIR (Near-InfraRed) face and iris image. Second, in order to increase the authentication accuracy of face and iris, we propose a score level fusion method based on SVM (Support Vector Machine). Third, to reduce the classification complexities of SVM and intra-variation of face and iris data, we normalize the input face and iris data, respectively. For face, a NIR illuminator and NIR passing filter on camera are used to reduce the illumination variance caused by environmental visible lighting and the consequent saturated region in face by the NIR illuminator is normalized by low processing logarithmic algorithm considering mobile phone. For iris, image transform into polar coordinate and iris code shifting are used for obtaining robust identification accuracy irrespective of image capturing condition. Fourth, to increase the processing speed on mobile phone, we use integer based face and iris authentication algorithms. Experimental results were tested with face and iris images by mega-pixel camera of mobile phone. It showed that the authentication accuracy using SVM was better than those of uni-modal (face or iris), SUM, MAX, NIN and weighted SUM rules.