[go: up one dir, main page]

Kumar et al., 2019 - Google Patents

Study of shadow and reflection based image forgery detection

Kumar et al., 2019

View PDF
Document ID
9965830447275005154
Author
Kumar B
Cristin R
Karthick K
Daniya T
Publication year
Publication venue
2019 International Conference on Computer Communication and Informatics (ICCCI)

External Links

Snippet

The technical evolution the world is conquering, the trust on the digital imaging technology is grinding down. In daily life, peoples come across the tampered or forged images from the tabloid magazines to the business industry. Furthermore in media outlets, scientific journals …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00288Classification, e.g. identification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20Image acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR OF PAPER CURRENCY OR SIMILAR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00Testing specially adapted to determine the identity or genuineness of paper currency or similar valuable papers, e.g. for segregating those which are unacceptable or alien to a currency
    • G07D7/20Testing patterns thereon, e.g. recognition of patterns, image processing, comparing to a reference in a memory
    • G07D7/2025Pattern matching
    • G07D7/2058Pattern matching matching a template
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00General purpose image data processing
    • G06T1/0021Image watermarking
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30781Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F17/30784Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
    • G06F17/30799Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content

Similar Documents

Publication Publication Date Title
Bappy et al. Exploiting spatial structure for localizing manipulated image regions
Mushtaq et al. Digital image forgeries and passive image authentication techniques: a survey
Gill et al. A review paper on digital image forgery detection techniques
JP2020525947A (en) Manipulated image detection
Cruz et al. Local binary patterns for document forgery detection
Deep Kaur et al. An analysis of image forgery detection techniques
Kumar et al. Study of shadow and reflection based image forgery detection
AlSawadi et al. Copy-move image forgery detection using local binary pattern and neighborhood clustering
Chakraborty PRNU-based image manipulation localization with discriminative random fields
Rhee Detection of spliced image forensics using texture analysis of median filter residual
Patrikar et al. Comprehensive study on image forgery techniques using deep learning
Youseph et al. Pixel and edge based illuminant color estimation for image forgery detection
Kadiri et al. Morphed Picture Recognition using Machine Learning Algorithms
Thakur et al. Image forensics using color illumination, block and key point based approach
Rajan et al. An extensive study on currency recognition system using image processing
Shah et al. Image Manipulation Detection Using Error Level Analysis
Fathalla et al. DMobile-ELA: Digital Image Forgery Detection via Cascaded Atrous MobileNet and Error Level Analysis
Abraham Digital image forgery detection approaches: A review and analysis
Hussein et al. KurdFace morph dataset creation using OpenCV
Chauhan et al. Fake Faces Unveiled: A Comprehensive Study on Detecting Generated Facial Images
Abou-Zbiba et al. Toward reliable mobile crowdsensing data collection: Image splicing localization overview
Kumar et al. A Review on Image Forgery Detection Techniques Using Machine Learning
Kanwal et al. A taxonomy and analysis of digital image forgery detection techniques
Sudhakar et al. Image forgery detection based on fusion of lightweight deep learning models
Singh et al. Image Forgery Detection Model using CNN Architecture with SVM Classifier