On Criminal Identification in Color Skin Images Using Skin Marks (RPPVSM) and Fusion With Inferred Vein Patterns

Nurhudatiana, Arfika; Kong, Adams Wai-Kin

doi:10.1109/tifs.2014.2387575

Cited by 19 publications

(10 citation statements)

References 41 publications

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“…Pola nevi (skin mark) yang terletak di paha kiri Joseph Pepe yang kemudian membuatnya terbukti bersalah dan menjadi terdakwa dari kasus pelecehan seksual anak. Pengenalan pola skin mark [5][6][7] dan blood vessel [8][9] mencapai perkembangan yang signifikan karena kemampuannya dalam membantu identifikasi kriminal pada kasus di mana data wajah dan bagian tubuh yang bisa diidentifikasi seperti tato tidak ada. Kekurangan pengenalan pola skin mark dan blood vessel adalah tidak robust jika bagian tubuh yang diidentifikasi ditumbuhi androgenic hair.…”

Section: Pendahuluanunclassified

Survei Penelitian Pengenalan Pola dalam Identifikasi Biometrik

Lionnie¹,

Alaydrus²

2017

InComTech

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Pengenalan pola memainkan peranan yang penting dalam identifikasibiometrik. Hal ini dikarenakan pengenalan pola dalam identifikasibiometrik membantu pihak berwenang dalam mengungkap identitasseorang kriminal. Pengenalan pola identifikasi biometrik dalam imageprocessing mencakup pengenalan pola wajah, geometri dari sebuahtangan, iris dan retina dari organ mata, sklera mata, pembuluh darah,tanda kulit dan rambut tubuh. Pengenalan pola identifikasi biometrikmembutuhkan metode pengenalan pola yang akurat, pemilihan tahap praproses dan metode klasifikasi yang sesuai. Pada survei paper ini dibahasmengenai beberapa metode tahap pra proses seperti Averaging Filter,Histogram, Desaturation, Binerisation dan Image Alignment. Metodepengenalan pola yang dibahas pada paper ini adalah Gabor Features,Local Binary Pattern, Local Gabor Binary Pattern dan Haar WaveletTransform. Sedangkan metode klasifikasi yang dibahas adalah Euclideandistance, Chi-square distance dan Histogram Matching. Agar dapatmemberikan hasil terbaik, setiap sistem pengenalan pola tidak dapatmenggunakan metode yang sama untuk mengenali pola identifikasibiometrik yang berbeda. Dibutuhkan penelitian dalam penggunaanmetode pra proses, ekstraksi fitur dan klasifikasi untuk setiap identifikasibiometrik yang ingin dikenali polanya.

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Section: Pendahuluanunclassified

Survei Penelitian Pengenalan Pola dalam Identifikasi Biometrik

Lionnie¹,

Alaydrus²

2017

InComTech

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“…Identification from images becomes very challenging if there are no obvious characteristics available like faces or tattoos. Some of the recent studies have searched for new biometric traits, such as vein, skin marks, androgenic hair, and hand's victory sign patterns [5,6,7,8], for tackling the scenario without faces or tattoos available. Existing palmprint recognition methods [9,10,11,12] for matching non-latent palmprint images taken from digital cameras focus on commercial biometric application with user cooperation and well-controlled imaging environments rather than forensic application.…”

Section: Introductionmentioning

confidence: 99%

A study on wrist identification for forensic investigation

Matkowski

Chan

Kong

2019

Image and Vision Computing

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Criminal and victim identification based on crime scene images is an important part of forensic investigation. Criminals usually avoid identification by covering their faces and tattoos in the evidence images, which are taken in uncontrolled environments. Existing identification methods, which make use of biometric traits, such as vein, skin mark, height, skin color, weight, race, etc., are considered for solving this problem. The soft biometric traits, including skin color, gender, height, weight and race, provide useful information but not distinctive enough. Veins and skin marks are limited to high resolution images and some body sites may neither have enough skin marks nor clear veins. Terrorists and rioters tend to expose their wrists in a gesture of triumph, greeting or salute, while paedophiles usually show them when touching victims.However, wrists were neglected by the biometric community for forensic applications. In this paper, a wrist identification algorithm, which includes skin segmentation, key point localization, image to template alignment, large feature set extraction, and classification, is proposed. The proposed algorithm is evaluated on NTU-Wrist-Image-Database-v1, which consists of 3945 images from 731 different wrists, including 205 pairs of wrist images collected from the Internet, taken under uneven illuminations with different poses and resolutions. The experimental results show that wrist is a useful clue for criminal and victim identification.

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“…For pigmented and vascular skin marks, it is used for identification in the high resolution images. Although it is not universal and not robust to hairy body parts and resolution, Nurhudatiana et al [37] suggested the skin marks fused with vein patterns to improve vein identification. Thus, they can be combined with skin texture for further improvement on the high resolution images.…”

Section: Discussionmentioning

confidence: 99%

“…Some enhance the current manual or semi-automatic recognition approaches used by law enforcement agencies and some tackle new demands from sexual offenses, riots, digital crimes, and terrorism. They include, but are not limited to, latent print enhancement [23][24], tattoo retrieval [25][26][27], face sketch recognition [28][29][30][31], shoe print recognition [32], dental identification [33][34], authorship verification [35], body skin mark identification and related studies [36][37][38], androgenic hair patterns matching [4], soft biometrics and witness descriptions [5][6][7], and vein patterns matching [8].…”

Section: Some Computational Methodsmentioning

confidence: 99%

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Criminal and victim identification based on soft biometrics

Chan¹

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Criminal and victim identification is always important in forensic investigation. However, it can be a very challenging problem for identifying criminals and victims in digital media when only their non-facial body sites are available in evidence images. These criminals and victims can be masked gunmen, paedophiles, and victims in child pornographic and voyeur images.To solve the above problem, several novel alignment and identification approaches are proposed in this thesis. Firstly, lower leg geometry is proposed as a soft biometric trait for criminal and victim identification. This study provides a foundation for further research based on body geometry. Secondly, leg geometry and hair follicles are proposed to align the androgenic hair patterns in consideration of viewpoint and pose variations, which were ignored by a recent paper suggesting androgenic hair patterns for identification.Experiments on 1,138 high and low resolution images from 283 different legs show that the proposed alignment algorithms provide improvements of 5%-10% on different experimental settings.Thirdly, a new approach is developed to improve the identification of androgenic hair patterns significantly. In the past, it was believed that androgenic hair patterns in low resolution images are not a distinctive biometric trait because of the previous result. A new algorithm, which makes use of leg geometry to align lower leg images, large feature sets (about 60,000 features) extracted through multi-directional gridding systems to increase discriminative power and robustness, the partial least squares (PLS) method to handle imbalanced training data and to perform the multi-grid feature fusion, and scheme I thank my fellow labmates in Biometrics and

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On Criminal Identification in Color Skin Images Using Skin Marks (RPPVSM) and Fusion With Inferred Vein Patterns

Cited by 19 publications

References 41 publications

Survei Penelitian Pengenalan Pola dalam Identifikasi Biometrik

Survei Penelitian Pengenalan Pola dalam Identifikasi Biometrik

A study on wrist identification for forensic investigation

Criminal and victim identification based on soft biometrics

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