Striated abrasions from a knife with non-serrated blade—identification of the instrument of crime on the basis of an experiment with material evidence

Kaliszan, Michał; Karnecki, Karol; Akçan, Ramazan; Jankowski, Zbigniew

doi:10.1007/s00414-011-0583-4

Cited by 12 publications

(7 citation statements)

References 10 publications

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“…Many of the researchers have used conventional, medical strategies for identification while others have used heuristic techniques for segmentation followed by Copyright © 2019 MECS I.J. Modern Education and Computer Science, 2019, 3, 38-45 ANN [17] and fuzzy primarily based techniques for the wound class manner [10,23]. Another proposed system that robotically and as it should be identify the location of a persistent wound and is capable of computerized picture segmentation and wound location identification [18,20].…”

Section: Related Workmentioning

confidence: 99%

“…A comparative examine among the 2 weapons become done to be able to decide the compatibility with the above-mentioned damage. Consequently, those analyses led us to the identification of the murder weapon and the author of the crime [10,14]. Other researchers proposed widely widespread version and gadget to effectively determine, compare and perceive the foremost guns from a massive series of available weapon structures that have more than one criteria based on a fuzzy choice-making model [17].…”

Section: Related Workmentioning

confidence: 99%

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Hidden Markov Model for Identification of Different Marks on Human Body in Forensic Perspective

Savakar¹,

Kannur²

2019

IJMECS

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This paper proposes a computational forensic methodology which identify and classify different marks on the human body using Hidden Markov model. The methodology gives an efficient and effective computerized approach for the characteristics of different marks such as birthmarks, burntmarks, tattoos and weapons' wounds found on human body. This proposed method will be a computationally effective substitution for the traditional forensic method in identifying the body marks in crime investigation of homicidal cases. Hidden Markov Model (HMM) is statistical and logical tool suitable for this identification. The marks on human body describe different patterns with characteristics that are helpful in identification. The experimental results achieved for identification of different marks with an average accuracy of 94.6%, on the available database of 400 images that includes four categories: Birthmarks, Burntmarks, Tattoos and weapons' wounds (100 images of each marks). The methodology gives the better combination of features (color, texture and shape), which are extracted for the identification of marks on human body for the purpose of computational forensic science.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Hidden Markov Model for Identification of Different Marks on Human Body in Forensic Perspective

Savakar¹,

Kannur²

2019

IJMECS

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“…Ying Bai and Dali Wang (2011) proposed this research to develop a universal model and system to effectively assess, evaluate and identify the optimal weapons from a large collection of available weapon systems that have multiple criteria based on a fuzzy multiple criteria decision making FMCDM model. Kaliszan M. et. al., (2011) presented an experiment with a knife seized as material evidence in a homicide case.…”

Section: Literature Surveymentioning

confidence: 99%

Comparative Analysis of Techniques for the Recognition of Stabbed Wound and Accidental Wound Patterns

Dayanand¹,

Kannur²

2018

IJCA

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The Paper proposed a comparative analysis of wound patterns for the process of recognition whether the wound is stabbed wounds using any sharp metals or accidental wounds. The analysis is on the basis of characteristics of wounds in terms of parameters like shape, size and crime scene. And this paper also presents analysis of different segmentation techniques, possible better combination of features to extract for the recognition and finally analysis on different recognition methodologies. Different schemas of recognition are presented in which combination of different segmentation algorithms, features vectors and two approaches of classifiers, and also the comparative analysis of these schemas is discussed. Based on comparative analysis, the combination of three stage techniques of recognition has given results in diverse. From these schemas of recognition, the structural method has given better results compared to the other schemas on the available database of 500 images of pattern consisting of stabbed wounds and accidental wounds. The authenticated experiments out-turns the superiority of the proposed approach over the other approach considered in this work and also compares and suggest the false positive recognition verses false negative recognition. The proposed methodology has given better results compared to traditional method and will be helpful in forensic and crime investigation.

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“…Sharp-force injuries are injuries caused by a mechanical force using sharp objects against the skin. 11,29,78 The most common instruments used in sharp-force injuries are knives, 44,45 but other instruments can also potentially cause these injuries, such as axes, 51 machetes, 41 scissors, 65 screwdrivers, 65 needles, barbecue forks, broken glass, and arrows. 12,20,53,61,68…”

Section: Definitionsmentioning

confidence: 99%

Forensic Veterinary Pathology

et al. 2016

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Sharp-force injuries are injuries caused by a mechanical force using sharp objects against the skin. Sharp-force injuries are mainly classified as stab, incised, chop, and therapeutic wounds and are less frequent than blunt-force injuries in animals. The analysis of the edges of the wound is crucial, especially if more than one type of lesion is involved. It may be difficult to differentiate between sharp trauma and blunt trauma, because lacerations can resemble incised wounds. The accurate documentation and examination of these injuries may indicate the instrument involved, the relationship between the animal and the perpetrator, and the force of the stab. Situations in which this type of trauma occurs may involve social violence, accidents, hunting, veterinary medical management, and religious rituals. The causes of death related to this type of trauma include hypovolemic shock, pneumothorax, or asphyxiation due to aspiration of blood. Necropsy findings should provide objective and unbiased information about the cause and manner of death to aid the investigation and further judgment of a possible crime.

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Striated abrasions from a knife with non-serrated blade—identification of the instrument of crime on the basis of an experiment with material evidence

Cited by 12 publications

References 10 publications

Hidden Markov Model for Identification of Different Marks on Human Body in Forensic Perspective

Hidden Markov Model for Identification of Different Marks on Human Body in Forensic Perspective

Comparative Analysis of Techniques for the Recognition of Stabbed Wound and Accidental Wound Patterns

Forensic Veterinary Pathology

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