Using Hair Follicles with Leg Geometry to Align Androgenic Hair Patterns

Chan, Frodo Kin Sun; Kong, Adams Wai-Kin

doi:10.1109/eisic.2015.17

Cited by 12 publications

(4 citation statements)

References 8 publications

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“…The features employed in our algorithm: LBP, Gabor and DSIFT are well known features, successfully applied in many domains, including biometrics [7,23,24,25,35]. Recently researchers tend to move towards deep features, which are believed to be more powerful than hand crafted features.…”

Section: Resultsmentioning

confidence: 99%

“…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%

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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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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A study on wrist identification for forensic investigation

Matkowski

Chan

Kong

2019

Image and Vision Computing

Self Cite

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show abstract

“…Kekurangan pengenalan pola skin mark dan blood vessel adalah tidak robust jika bagian tubuh yang diidentifikasi ditumbuhi androgenic hair. Dari masalah ini, dikembangkanlah pengenalan pola berdasarkan pola androgenic hair [10][11][12][13].…”

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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“…There have been pursuits to overcome these two difficulties. In [3], [5] the authors started to study the pattern by using the Gabor orientation histogram. In [6][7][8], the authors applied transformation such as wavelet Haar, principal component analysis and hierarchical Gaussian scale space as a method to help the recognize the androgenic hair pattern and to produce better recognition precision.…”

Section: Introductionmentioning

confidence: 99%

Biometric identification using augmented database

Lionnie¹,

Agustina²,

Sediono³

et al. 2019

TELKOMNIKA

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Androgenic hair pattern is one of the newest soft biometric trait that can be used to identify criminals when their faces are covered in the evidences of criminal investigation. In real-life situation, sometimes the available evidence is limited thus creating problems for authorities to identify criminal based on the limited data. This research developed the recognition system to identify individuals based on their androgenic hair pattern in a limited data situation in such a way that the limited images were expanded by the augmentation process. There were 50 images studied and expanded into 2.000 images from the augmentation process of rotating, reflecting, adjusting color and intensity. Furthermore, the effect of human skin color extraction was investigated by employing HSV and YCbCr color spaces. The scale-space hierarchy was built among the images with Gaussian function and produced 70% recognition precision that was around more than 2 times higher compared to system of recognition with only limited data.

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Using Hair Follicles with Leg Geometry to Align Androgenic Hair Patterns

Cited by 12 publications

References 8 publications

A study on wrist identification for forensic investigation

A study on wrist identification for forensic investigation

Survei Penelitian Pengenalan Pola dalam Identifikasi Biometrik

Biometric identification using augmented database

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