Forensic Facial Identification Research Papers (original) (raw)

This study aims to discuss the limitations in the facial analysis
of closed-circuit television (CCTV) images, including the use
of morphological and anthropometric methods, and to analyze the level of effectiveness of CCTV images, taking into account any negative factors that may affect the forensic anthropologist/forensic facial examination expert’s conclusion. Ten forensic experts from different forensic laboratories and universities participated in this research. The experts were asked to compare the query CCTV images, which were of varied quality, with the target images. The results suggest that a high error rate and low-level assessment are provided by low quality CCTV images, whereas morphological and anthropometric analysis can be performed more accurately and correctly with the high level of assessment provided by moderate/reasonable quality CCTV images. To use morphological and anthropometric methods efficiently and take maximum advantage of the use of security cameras in forensic facial identification, it is suggested to set a CCTV recording standard for high quality recordings.

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- Facial Recognition, Forensic Facial Identification
- by Martin Evison
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- MRI, Facial Reconstruction, Stereophotogrammetry, Facial Approximation

Dalam kasus-kasus orang hilang yang meninggal, korban kejahatan yang dibuang oleh pelaku pembunuhan, atau korban kecelakaan yang tidak diketahui lagi bentuk wajahnya karena ledakan atau terbakar, kadang sulit untuk mengetahui siapa orang yang meninggal itu. Seringkali untuk menangkap seorang pelaku kejahatan, polisi harus mengetahui dulu siapa si korban. Rekonstruksi wajah dari tengkorak ini akurasinya antara 65% -75% keberhasilannya. Ini merupakan upaya untuk mencoba mencari tahu siapa sebenarnya si korban yang tidak diketahui identitasnya.

- by pravin latane
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- Facial Recognition, Raspberry Pi, Forensic Facial Identification, PIR sensor

ABSTRACT: Cleft lip and palate (CLP) is a craniofacial malformation affecting more than seven million people worldwide that results in
defects of the hard palate, teeth, maxilla, nasal spine and floor, and maxillodental asymmetry. CLP facial soft-tissue depth (FSTD) values
have never been published. The purpose of this research is to report CLP FSTD values and compare them to previously published FSTD
values for normal children. Thirty-eight FSTDs were measured on cone beam computed tomography images of CLP children (n = 86;
7–17 years). MANOVA and ANOVA tests determined whether cleft type, age, sex, and bone graft surgical status affect tissue depths. Both
cleft type (unilateral/bilateral) and age influence FSTDs. CLP FSTDs exhibit patterns of variation that differ from normal children, particularly
around the oronasal regions of the face. These differences should be taken into account when facial reconstructions of children with CLP are created.

- by John Starbuck
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- Forensic Anthropology, Normal Human Variation, Geometric Morphometrics, Morphology

In this research we have proposed IOT based advanced Online examination using Raspberry pi for Alarm system and border security. With the event of recent education, considering the defect of current online exam system, a replacement projection of online exam system primarily based on Raspberry pi IOT is projected, and also the key implementation techniques and ways also are represented. Internet of Things (IOT) has provided a promising chance to make powerful Examination systems and applications by leverage the growing omnipresence of wireless, RFID mobile and detector devices. a large vary of IOT applications are developed in recent years. In a shot to grasp the event of IOT in on-line examination, here we tend to propose this analysis of IOT, IOT key facultative technologies, major IOT applications in on-line examination and identifies analysis trends and challenges. Here we tend to introduce all the examiner details square measure holds on within the server. Then if somebody needs to starts on-line examination, 1st they ought to apply face recognition (in Open CV based) technique. as a result of it slow unwanted person conjointly enter to Wright the examination, thus this can be the simplest thanks to known any culprits square measure found or not. Then examination enter to Wright the exam, here conjointly I am apply some security. Currently a day's already queries square measure hold on within the on-line or any paper written copy.

- by Rachel Tinoco
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- Forensic Anthropology, Photography, Brazil, Face

This chapter concerns the forensic applications of facial memory research. A scenario is given initially about a common type of crime in the U.S., a convenience store robbery. It includes several elements that involve human memory; particularly of a female clerk's memory. Reference to the scenario is made throughout the chapter to provide examples of facial memory issues with respect to eyewitness identification. Organization of the discussion is on the basis of research methodology and procedures, mainly with regard to recognition and recall assessments. Emphasis is on forensic applications and implications.

- by Marco Aurelio Guimarães
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- Forensic Anthropology, Photography, Brazil, Face

The study of facial growth is explored in many fields of science, including anatomy, genetics, and forensics. In the field of forensics, it acts as a valuable tool for combating child pornography. The present research proposes a new method, based on relative measurements and fixed references of the human face—specifically considering measurements of the diameter of the iris (iris ratio)—for the analysis of facial growth in association with age in children and sub-adults. The experimental sample consisted of digital photographs of 1000 Brazilian subjects , aged between 6 and 22 years, distributed equally by sex and divided into five specific age groups (6, 10, 14, 18, and 22 year olds ± one month). The software package SAFF-2D ® (Forensic Facial Analysis System, Brazilian Federal Police, Brazil) was used for positioning 11 landmarks on the images. Ten measurements were calculated and used as fixed references to evaluate the growth of the other measurements for each age group, as well the accumulated growth (6–22 years old). The Intraclass Correlation Coefficient (ICC) was applied for the evaluation of intra-examiner and inter-examiner reliability within a specific set of images. Pearson's Correlation Coefficient was used to assess the association between each measurement taken and the respective age groups. ANOVA and Post-hoc Tukey tests were used to search for statistical differences between the age groups. The outcomes indicated that facial structures grow with different timing in children and adolescents. Moreover, the growth allometry expressed in this study may be used to understand what structures have more or less proportional variation in function for the age ranges studied. The diameter of the iris was found to be the most stable measurement compared to the others and represented the best cephalometric measurement as a fixed reference for facial growth ratios (or indices). The method described shows promising potential for forensic applications, especially as part of the armamentarium against crimes involving child pornography and child abuse.

- by Martin Evison and +1
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- Forensic Anthropology, Image Forensic, Forensic Facial Identification
- by Martin Evison and +2
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- Stereophotogrammetry, Facial Comparison Evidence, Facial Image Comparison, Forensic Facial Identification
- by Martin Evison
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- Forensic Facial Identification

- by pravin latane
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- Facial Recognition, Raspberry Pi, Forensic Facial Identification, PIR sensor

- by Ademir Franco
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- Forensic Anthropology, Photography, Brazil, Face

In this examination we have proposed Learning invariant shading highlights for individual recognizable proof utilizing human face for high proficient flag exchange framework applications. In this paper, we have a tendency to propose an information driven approach for taking in shading designs from pixels examined from pictures crosswise over to camera sees. The instinct behind this work is that, even assuming picture element values of same colour would wander across views, they thought to be encoded with indistinguishable qualities. We tend to model colour feature age as a learning drawback by together learning a direct transformation and a wordbook to write in code picture component esteems. We have a tendency to conjointly dissect entirely unexpected estimating invariant shading zones. Abuse shading in light of the fact that the exclusively prompt, we tend to contrast our approach and all the estimating invariant shading zones and show better execution over every one of them. Overwhelming pivoted nearby double example is anticipated yields higher execution. This paper proposes a totally exceptional strategy of characterizing the outer body part misuse Convolutional Neural Network.