Facial Index Based 2D Facial Composite Process for Forensic Investigation in Sri Lanka

Jayasekara, Padmini; Sivaneasharajah, Lavendini; Perera, Madushika; Perera, Jennifer; Karunaratne, D. D.; Sandaruwan, K. D.; Rajapakse, Roshan N.

doi:10.4236/fmar.2016.41002

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…It is also important to realize that incapability of identifying perpetrators of crime may leave the country in a precarious position as there is a seemingly rising number of crimes in the country. In order to overcome this situation, an automated, image processing based computer software solution has been introduced with 2D facial feature templates by incorporating both medically defined indices and aesthetic aspects 5 .…”

Section: Resultsmentioning

confidence: 99%

Forensic art: 2D facial composite through image processing techniques in Sri Lanka

Sivaneasharajah

Perera

Jayasekara

et al. 2017

Sri Lanka J Forensic Med, Sci & Law

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INTRODUCTIONForensic art is a technique used by law enforcement in order to identify a suspect towards apprehension or conviction of wanted persons and composite art is one branch. A "facial composite" is a graphical representation of a human face according to eyewitnesses' description. The failure rate of suspect identification through manual facial composite sketch was reportedly quite high in 2014 in Sri Lanka 1 . In addition, international software available for face identification may not be the best approach for Sri Lankan population. OBJECTIVETo develop an automated, image processing based computer software solution using 2D facial feature templates for suspect identification in Sri Lanka. STUDY DESIGNFacial feature templates were constructed by analyzing a dataset from Sri Lankan young adult population focusing on most occurring facial indices and commonly available facial feature shapes. Anthropometric proportion indices measurements and shape classification for eyes, nose, face, upper vermilion and lower vermilion of 140 undergraduates of both sexes between 20-25 age were identified and categorized according to BMI (Body Mass Index). Face Software Development Kit library (Face SDK library) was used for index measurements and domain expert knowledge from aesthetic and forensic art fields were utilized in identifying facial feature shapes. These parameters were incorporated to construct 2D facial feature templates for major facial feature. Then these templates were transferred into the system to be used for composite construction purpose. Finally face visualization process will perform iteratively until the eyewitness is satisfied with the ultimate image. Evaluation of this solution with face pool technique and anthropometric index evaluation techniques obtained 70.19% accuracy and average of 84% respectively. CONCLUSIONA significant accuracy level in composite images has been obtained by using anthropometric indices measurements. Hence, this computerized solution will significantly enhance the currently used manual facial composite procedure for suspect identification in Sri Lanka ensuring justice to the victim of crime. FORENSIC ART: 2D FACIAL COMPOSITE THROUGH IMAGE PROCESSING TECHNIQUES IN SRI LANKA

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Section: Resultsmentioning

confidence: 99%

Forensic art: 2D facial composite through image processing techniques in Sri Lanka

Sivaneasharajah

Perera

Jayasekara

et al. 2017

Sri Lanka J Forensic Med, Sci & Law

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“…4 Facial anthropometric measurements are of great significance in 2D or 3D computerized facial models. 5 It is also of great aesthetic significance since facial proportions and symmetry are considered as determinants of beauty. This is an important factor in restoring self-confidence of an individual.…”

Section: Introductionmentioning

confidence: 99%

A cross-sectional study of facial index in Western Uttar Pradesh population between 18-25 years of age

Vangara¹,

Kumar²,

Arora

2021

Asian J Med Sci

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Background: Facial anthropometry is the scientific study of measurements and proportions of the human face. There is huge paucity in the metric measurements of face in Indian population. This study is involved in collecting facial anthropometric data of Western Uttar Pradesh population of age group between 18-25 years. Aims and Objectives: This study aims at evaluating predominant facial phenotype, using facial height and facial width of Western Uttar Pradesh population as study subjects. Materials and Methods: The study was conducted on 200 medical and paramedical students of Shri Ram Murti Smarak Institute of Medical Sciences (SRMS-IMS), Bareilly, Uttar Pradesh. The study subjects were of 18-25 year’s age, belonging to Western Uttar Pradesh region. Digital Vernier Caliper was used to measure the facial parameters. The data was analyzed using statistical tool SPSS 16.0 version. Results: In the present study it is found that facial height and width are more in males compared to females. This difference is statistically significant. On analyzing facial index, hyperleptoprosopic face is the predominant phenotype in males as well as in females, followed by leptoprosopic type in males and mesoprosopic type in females. However, gender differences in facial index are not statistically significant at p<0.05. Conclusion: The current study reveals that facial parameters can be used to determine the gender of an individual on the basis of height and width.

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Facial Index Based 2D Facial Composite Process for Forensic Investigation in Sri Lanka

Cited by 2 publications

References 13 publications

Forensic art: 2D facial composite through image processing techniques in Sri Lanka

Forensic art: 2D facial composite through image processing techniques in Sri Lanka

A cross-sectional study of facial index in Western Uttar Pradesh population between 18-25 years of age

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