Image Authentication Using Local Binary Pattern on the Low Frequency Components

2016-12-25 · journal 2016 12 · S.B.G. Tilak Babu, Ch. Srinivasa Rao

Detection of copy move forgery in images is helpful in legal evidence, in forensic investigation and many other fields. Many Copy Move Forgery Detection (CMFD) schemes are existing in the literature. However, most of them fail to withstand post-processing operations viz., JPEG Compression, noise contamination, rotation. Even if able to identify, they consumes much time to detect and locate. In this paper, a technique is proposed which uses Discrete Wavelet Transform (DWT) and Local Binary Pattern (LBP) to identify copy-move forgery. Features are extracted by using LBP on the LL band obtained by applying DWT on the input image. Proper selection of similarity and distance thresholds can localize the forged region correctly.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Evaluating software-based fingerprint liveness detection using Convolutional Networks and Local Binary Patterns

2015-08-03 · Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo, Rubens Campos Machado

With the growing use of biometric authentication systems in the past years, spoof fingerprint detection has become increasingly important. In this work, we implement and evaluate two different feature extraction techniqu…

Face Retrieval using Frequency Decoded Local Descriptor

2017-09-16 · Shiv Ram Dubey

The local descriptors have been the backbone of most of the computer vision problems. Most of the existing local descriptors are generated over the raw input images. In order to increase the discriminative power of the l…

Decoder Retrieval

Multiscale Fields of Patterns

2014-06-04 · NeurIPS 2014 12 · Pedro F. Felzenszwalb, John G. Oberlin

We describe a framework for defining high-order image models that can be used in a variety of applications. The approach involves modeling local patterns in a multiscale representation of an image. Local properties of a …

Contour Detection

Integrating Visual and X-Ray Machine Learning Features in the Study of Paintings by Goya

2025-11-02 · Hassan Ugail, Ismail Lujain Jaleel arxiv

Art authentication of Francisco Goya's works presents complex computational challenges due to his heterogeneous stylistic evolution and extensive historical patterns of forgery. We introduce a novel multimodal machine le…

Texture and Steerability based Image Authentication

2018-01-18 · Conference 2018 1 · S.B.G. Tilak Babu, Ch. Srinivasa Rao

Copy-Move Forgery Detection (CMFD) method is useful for identifying copy and pasted portions in an image. CMFD has demand in forensic investigation, legal evidence and in many other fields. In this paper, the gists of…