Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers
Big Data Mining and Analytics, 2023 Passive image forgery detection methods that identify forgeries without prior knowledge have become a key research focus. In copy-move forgery, the assailant intends to hide a portion of an image by pasting other portions of the same image. The detection
S. B. G. Tilak Babu, Ch Srinivasa Rao
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Palmprint Verification Using the Histogram of Local Binary Patterns
Journal of the Korea Society of Computer and Information, 2010 This paper proposes an efficient method for verifying palmprint which is captured at the natural interface without any physical restriction. The location and orientation of the region of interest (ROI) in palm images are variously appeared due to the translation and rotation of hand.
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Employee attendance system using face recognition and GPS using local binary pattern histogram
International Journal of Science, Technology, Engineering and MathematicsTracking employee attendance is an integral part of running a company in an organized and economical manner. Conventional approaches such as manual sign-ins and RFID cards or fingerprint scanning have shown important weaknesses, especially with regard to
Narahari Vigraha Prasada, Ikrimach
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Study of statistical methods for texture analysis and their modern evolutions
Engineering Reports, 2020 Texture analysis is widely performed in the current time as it is considered as an intimate property of the surface. It is widely used in the field of image processing, remote sensing applications, biomedical analysis, document processing, and so on.
Ayushman Ramola +2 more
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Ground truth free retinal vessel segmentation by learning from simple pixels
IET Image Processing, 2021 Retinal vessel segmentation is fundamental for the automatic retinal image analysis and ocular disease screening. This paper aims to learn a ground truth free feature aggregation strategy for the vessel segmentation.
Beiji Zou +3 more
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Ensemble feature selection approach based on feature ranking for rice seed images classification
Advances in Electrical and Electronic Engineering, 2020 In smart agriculture, rice variety inspection systems based on computer vision need to be used for recognizing rice seeds instead of using technical experts.
Dzi Lam Tran Tuan +3 more
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Survei Penelitian Pengenalan Pola dalam Identifikasi Biometrik [PDF]
, 2016 Pengenalan pola memainkan peranan yang penting dalam identifikasibiometrik. Hal ini dikarenakan pengenalan pola dalam identifikasibiometrik membantu pihak berwenang dalam mengungkap identitasseorang kriminal.
Alaydrus, M. (Mudrik) +1 more
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FACIAL EXPRESSION EMOTION RECOGNITION USING LOCAL BINARY PATTERNS HISTOGRAMS
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTLocal Binary Patterns (LBP) histograms are used as texture descriptors by the proposed facial expression emotion detection system to identify various face expressions in photos. Localized facial patterns are represented by histograms formed by the extraction of LBP features based on pixel intensity comparisons after pre-processing operations such as ...
Mrs.M.K Nivodhini, Mr.B Rajesh
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Naive bayes multi-label classification approach for high-voltage condition monitoring [PDF]
, 2019 This paper addresses for the first time the multilabel classification of High-Voltage (HV) discharges captured using the Electromagnetic Interference (EMI) method for HV machines.
Boreham, Philip +4 more
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Facial expression recognition based on local region specific features and support vector machines
, 2016 Facial expressions are one of the most powerful, natural and immediate means for human being to communicate their emotions and intensions. Recognition of facial expression has many applications including human-computer interaction, cognitive science ...
Ghimire, Deepak +3 more
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