Automated assessment of facial wrinkling: A case study on the effect of smoking

Osman, Omaima FathElrahman; Elbashir, Remah Mutasim Ibrahim; Abbass, Imad Eldain; Kendrick, Connah; Goyal, Manu; Yap, Moi Hoon

doi:10.1109/smc.2017.8122755

Cited by 14 publications

(7 citation statements)

References 29 publications

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“…Dupati and Helfrich (2009)also stated that heavy smokers had four times more facial wrinkles than non-smokers. Research in Korea found that smoking can cause the risk of wrinkles on the face as much as 11 times compared to people who do not smoke; even a study in Japan found the risk of developing wrinkles as much as 22 times in people who smoke compared to non-smokers in men [12].…”

Section: International Journal Of Scientific Advances Issn: 2708-7972mentioning

confidence: 95%

Smoking as A Risk Factor of Low Superoxide Dismutase (SOD) Levels and Early Aging in Women Aged 20 to 35 Years

Laksmi¹,

Winaya²,

Darmaputra³

et al. 2023

International Journal of Scientific Advances

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Background: Heavy smokers have four times more facial wrinkles than non-smokers. Superoxide dismutase (SOD) levels are an indicator of premature aging in blood and tissues. The premature aging process can take place more quickly at a relatively younger age. The purpose of this study was to determine smoking and low levels of superoxide dismutase (SOD) as risk factors for premature aging in women aged 20-35 years. Method: Using a case-control study, this study determined smoking and low levels of superoxide dismutase (SOD) as risk factors for premature aging in women aged 20-35. Subjective clinical observation of wrinkles with the smoker’s face criteria (Daniel 1971) and objective use A-One-Facial Analyzer tool. Analyze using SPSS 26. Result: The smoking increased the risk of premature aging by 16 times (OR 16; 95% CI= 4,2-60,7); p<0,001) and passive smoker 36 times (OR 36; IK95% 7,6-168,9; p<0,001). Low SOD levels (<2.93 U/ml) increased the risk of premature aging by 9.7 times (OR 9.7;95%CI =3.2-29.1); p <0.001) and levels of superoxide dismutase (SOD) of smokers were lower than non-smokers with a median (IQR) [min-max] of smokers 1,5 (1,6) [0,4-9,7]U/ml while non-smokers were 7,5 (6,3) [0,1-14,2]U/ml and p<0.001. The results of the multivariate analysis showed that smoking and low SOD as risk factors for premature aging in women aged 20-35 years with smoking (AOR 18; 95%CI=5,5-66,8; p<0,001) and low SOD (AOR 10,2; 95%CI=1,5-67,1; p<0,001). Conclusion: That smoking and low levels of superoxide dismutase (SOD) as risk factors for premature aging in women aged 20-35 years.

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Section: International Journal Of Scientific Advances Issn: 2708-7972mentioning

confidence: 95%

Smoking as A Risk Factor of Low Superoxide Dismutase (SOD) Levels and Early Aging in Women Aged 20 to 35 Years

Laksmi¹,

Winaya²,

Darmaputra³

et al. 2023

International Journal of Scientific Advances

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“…Most of the wrinkle detection methods reviewed above focused on detecting horizontal lines in the forehead region. In 2017, Omaima et al [ 15 ] proposed a modified HHF algorithm to detect vertical lines. This algorithm was used as a wrinkle extraction step for their study in investigating the effects of smoking on facial wrinkles.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Automatic Facial Wrinkle Detection Algorithms

Elbashir

Yap

2020

J. Imaging

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Facial wrinkles (considered to be natural features) appear as people get older. Wrinkle detection is an important aspect of applications that depend on facial skin changes, such as face age estimation and soft biometrics. While existing wrinkle detection algorithms focus on forehead horizontal lines, it is necessary to develop new methods to detect all wrinkles (vertical and horizontal) on whole face. Therefore, we evaluated the performance of wrinkle detection algorithms on the whole face and proposed an enhancement technique to improve the performance. More specifically, we used 45 images of the Face Recognition Technology dataset (FERET) and 25 images of the Sudanese dataset. For ground truth annotations, the selected images were manually annotated by the researcher. The experiments showed that the method with enhancement performed better at detecting facial wrinkles when compared to the state-of-the-art methods. When evaluated on FERET, the average Jaccard similarity indices were 56.17%, 31.69% and 15.87% for the enhancement method, Hybrid Hessian Filter and Gabor Filter, respectively.

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“… Time changes: physical objects are subject to physical changes to their modalities such as injuries, blackheads, acne and wrinkles. This type of change can affect the performance of biometric systems [16, 17]. Furthermore, users usually develop a new behavioural pattern over time, which can result in a mismatch when compared to stored user templates. Emotion effect: human's emotions, including anger, fear, and happiness, can affect behavioural biometrics, especially in the case of voice recognition [18].…”

Section: Introductionmentioning

confidence: 99%

Spoofing detection on adaptive authentication System‐A survey

Baaqeel

Olatunji

2021

IET Biometrics

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With the widespread of computing and mobile devices, authentication using biometrics has received greater attention. Although biometric systems usually provide efficient solutions, the recognition performance tends to be affected over time due to changing conditions and the ageing of biometric data, which results in intra-class variability. This issue is one of the leading causes of the high false rejection rate in biometric authentication systems. Fortunately, this issue has been addressed by using adaptive biometric solutions in which the system gradually adapts to new changes in user biometrics. However, their adaptability to changes may be exploited by an attacker to compromise the stored templates, either to impersonate a specific client or to deny access to him/her. In this work, the authors will carry out a systematic literature review by conducting a comparative study on state-of-the-art solutions for spoofing detection on adaptive authentication systems. This paper will identify the main issues that need to be addressed in adaptive authentication systems. Thus, the authors aim to encourage researchers to develop more robust adaptive solutions to overcome the identified gaps in this research.

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Automated assessment of facial wrinkling: A case study on the effect of smoking

Cited by 14 publications

References 29 publications

Smoking as A Risk Factor of Low Superoxide Dismutase (SOD) Levels and Early Aging in Women Aged 20 to 35 Years

Smoking as A Risk Factor of Low Superoxide Dismutase (SOD) Levels and Early Aging in Women Aged 20 to 35 Years

Evaluation of Automatic Facial Wrinkle Detection Algorithms

Spoofing detection on adaptive authentication System‐A survey

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