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Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application to Face Recognition [article]

Mathias Ibsen, Christian Rathgeb, Pawel Drozdowski, Christoph Busch
2022 arXiv   pre-print
Moreover, we demonstrate the feasibility of the generation by using a deep learning-based model for removing tattoos from face images.  ...  Additionally, we show that it is possible to improve face recognition accuracy by using the proposed deep learning-based tattoo removal before extracting and comparing facial features.  ...  Many researchers are working on the detection or generation of deep learning-based alterations.  ... 
arXiv:2202.05297v2 fatcat:dzyj5rdlnnhmxh3ooi7tibmsuu

Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning

Hu Han, Jie Li, Anil K. Jain, shiguang shan, Xilin Chen
2019 IEEE Transactions on Pattern Analysis and Machine Intelligence  
detection and feature learning tasks, respectively.  ...  We resolve the small batch size issue inside the joint tattoo detection and compact representation learning network via random image stitch and preceding feature buffering.  ...  ) (grant GJHZ1843), and Youth Innovation Promotion Association CAS (2018135).  ... 
doi:10.1109/tpami.2019.2891584 pmid:30629491 fatcat:zgkocarum5dmfieo4c2si44xli

Comparing the performance and accuracy of algorithms applied to tattoos images identification

Agnus Azevedo Horta, Léo Pini Magalhães
2018 Journal of WSCG  
This article presents results of the simulation of SIFT based algorithms in the context of the identification of tattoos.  ...  This work uses runtime and accuracy to compare the results of the simulations.  ...  For example, the use of Deep Learning in the area of tattoos identification; the current literature presents studies in other use-cases -detection, similarity and deidentification [DP16] , [HBRM16] ,  ... 
doi:10.24132/jwscg.2018.26.1.5 fatcat:557hav4oozdhxamf7uh25vz3ve

Impact of facial tattoos and paintings on face recognition systems

Mathias Ibsen, Christian Rathgeb, Thomas Fink, Pawel Drozdowski, Christoph Busch
2021 IET Biometrics  
The assembled database was used to evaluate how facial tattoos and paintings affect the detection, quality estimation, as well as the feature extraction and comparison modules of a face recognition system  ...  The impact on these modules was evaluated using state-of-the-art open-source and commercial systems.  ...  Current state-of-the-art face recognition systems, however, take advantage of the availability of large 2D face image databases and deep learning techniques to learn complex representations of faces.  ... 
doi:10.1049/bme2.12032 fatcat:pcnu33tjbrb7fhvyd4unxezjgi

Palmprint Recognition in Uncontrolled and Unco-operative Environment

Jayakrishnan S Kumar
2021 International Journal for Research in Applied Science and Engineering Technology  
To visualize palmprint identification on footage collected in uncontrolled and uncooperative surroundings, a novel palmprint info is established Associate in nursing AN end-to-end deep learning rule is  ...  The previous uses middle-resolution footage collected by a camera in an exceedingly} very well-controlled or contact-based surroundings with user cooperation for industrial applications and so the latter  ...  ACKNOWLEDGMENT The authors would really like to impart Chinese Academy of Sciences, Institute of Automation, urban center PolyU, IIT Delhi, Tongji University and University of urban center, for sharing  ... 
doi:10.22214/ijraset.2021.37646 fatcat:2asslrdyanhqfntnnh5kpbq6xe

Impact of Facial Tattoos and Paintings on Face Recognition Systems [article]

Mathias Ibsen, Christian Rathgeb, Thomas Fink, Pawel Drozdowski, Christoph Busch
2021 arXiv   pre-print
The assembled database was used to evaluate how facial tattoos and paintings affect the detection, quality estimation, as well as the feature extraction and comparison modules of a face recognition system  ...  The impact on these modules was evaluated using state-of-the-art open-source and commercial systems.  ...  Current state-of-the-art face recognition systems, however, take advantage of the availability of large 2D face image databases and deep learning techniques to learn complex representations of faces.  ... 
arXiv:2103.09939v2 fatcat:xhgxxxra4rghllopv2sqvsyzeu

Tasks Integrated Networks: Joint Detection and Retrieval for Image Search [article]

Lei Zhang and Zhenwei He and Yi Yang and Liang Wang and Xinbo Gao
2020 arXiv   pre-print
The traditional object retrieval task aims to learn a discriminative feature representation with intra-similarity and inter-dissimilarity, which supposes that the objects in an image are manually or automatically  ...  However, in many real-world searching scenarios (e.g., video surveillance), the objects (e.g., persons, vehicles, etc.) are seldom accurately detected or annotated.  ...  Therefore, this dataset is used for object (tattoo) search instead of person search. In this section, we present the results of tattoo detection and tattoo search.  ... 
arXiv:2009.01438v1 fatcat:ybds3kdmevat7i7wfyi67hfq7m

On Detecting Domestic Abuse via Faces

Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
The results on the proposed database show that deep learning based framework is effective in detecting domestic injuries.  ...  The paper also presents a novel framework using activation maps of deep learning features for determining whether an image belongs to domestic violence class or not.  ...  For this purpose, a deep-learning based framework is proposed to learn the discriminative features from the injured regions of the face image and identify the victims of domestic violence.  ... 
doi:10.1109/cvprw.2018.00292 dblp:conf/cvpr/MajumdarC0V18 fatcat:xdjldytbkrhnbhxr2nvknumbou

Robust Blocking of Human Faces with Personal Information Using Artificial Deep Neural Computing

Seok-Woo Jang, Sang-Hong Lee
2020 Sustainability  
The proposed technique first utilizes the neural computing-based learning algorithm to robustly detect the target object including personal information from an image.  ...  computing and to effectively block the detected objects' regions.  ...  In addition, the authors will express their gratitude to the editors and reviewers for their valuable and constructive comments that can help to enhance the quality of this work.  ... 
doi:10.3390/su12062373 fatcat:r3xlef32rng25bqqinudlau7z4

Image-based Individual Cow Recognition using Body Patterns

Rotimi-Williams Bello, Abdullah Zawawi, Ahmad Sufril, Daniel A., Firstman Noah
2020 International Journal of Advanced Computer Science and Applications  
In order to recognize individual cow and to mitigate all the challenging tasks, an image processing system is proposed using the body pattern images of the cow.  ...  The performance evaluation of the proposed system for both training and testing data was carried out for each cow's identification and 92.59% and 89.95% accuracies were achieved respectively.  ...  The approach is used for localizing and detecting the beads and ridges' key points in the images of muzzle print for the cattle identification.  ... 
doi:10.14569/ijacsa.2020.0110311 fatcat:yeadb6mtsfg6pjhlu5u4pgn3ci

Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems [article]

Bao Gia Doan, Ehsan Abbasnejad, Damith C. Ranasinghe
2020 arXiv   pre-print
In Trojan attacks, an adversary activates a backdoor crafted in a deep neural network model using a secret trigger, a Trojan, applied to any input to alter the model's decision to a target prediction--  ...  We propose Februus; a new idea to neutralize highly potent and insidious Trojan attacks on Deep Neural Network (DNN) systems at run-time.  ...  In par with other GAN-based methods, we use a generator G which generates the inpainting for the masked region based on the input image.  ... 
arXiv:1908.03369v7 fatcat:f3mdnyuadjc55ic2leitxnwjsm

Impact and Detection of Facial Beautification in Face Recognition: An Overview

Christian Rathgeb, Antitza Dantcheva, Christoph Busch
2019 IEEE Access  
Additionally, technical considerations and trade-offs of the surveyed methods are summarized along with open issues and challenges in the field.  ...  In this work, a conceptual categorisation of beautification is presented, relevant scenarios with respect to face recognition are discussed, and related publications are revisited.  ...  Focusing on the detection of plastic surgery, Kohli et al. [30] proposed a region-based multiple projective dictionary learning approach.  ... 
doi:10.1109/access.2019.2948526 fatcat:llekazznkzb6zhfbb2ock6gcjm

A Mobile App for Wound Localization using Deep Learning [article]

D. M. Anisuzzaman
2020 arXiv   pre-print
The developed localizer can detect the wound and its surrounding tissues and isolate the localized wounded region from images, which would be very helpful for future processing such as wound segmentation  ...  We present an automated wound localizer from 2D wound and ulcer images by using deep neural network, as the first step towards building an automated and complete wound diagnostic system.  ...  To this end, we have developed a wound localization algorithm by using deep learning model and integrated it into a smartphone platform, which can remotely capture and localize a wound from 2D wound images  ... 
arXiv:2009.07133v1 fatcat:ripjzhfdofg2zd7tfjison4ziy

Video redaction: a survey and comparison of enabling technologies

Shagan Sah, Ameya Shringi, Raymond Ptucha, Aaron Burry, Robert Loce
2017 Journal of Electronic Imaging (JEI)  
Recent studies have explored the use of convolution neural networks and recurrent neural networks for object detection and tracking.  ...  Video redaction is used to obfuscate sensitive and personally identifiable information. Today's typical workflow involves simple detection, tracking, and manual intervention.  ...  Since then, a variety of other deep learning-based methodologies for addressing the object detection and localization problem have been published, including fast-RCNN 20 and faster-RCNN. 21 More recently  ... 
doi:10.1117/1.jei.26.5.051406 fatcat:do2a6emcmnexfodvv6kbfk3jc4

Deep Learning-Based Architectures for Recognition of Cow Using Cow Nose Image Pattern

Rotimi-williams BELLO, Abdullah Zawawi Hj TALIB, Ahmad Sufril Azlan Bin MOHAMED
2020 GAZI UNIVERSITY JOURNAL OF SCIENCE  
[23] to localize and to detect the region of interest (ROI) in the nose images for the cow identification in database of 90 nose images (6 × 15 = 90).  ...  [27] proposed a nose image-based cow recognition approach for local texture features extraction from the nose images using algorithm of local binary pattern (LBP), a local texture descriptor based technique  ... 
doi:10.35378/gujs.605631 fatcat:pgrm4xk7jvhhvebg53oye5e6rm
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