PPT-Digital Image Forgery Detection

Ales Zita Publication Digital Image Forgery Detection Based on Lens and Sensor Aberration Authors Ido Yerushalmy Hagit HelOr Dept of Computer Science University of Haifa Israel. 02nT Faster cycle rates Up to 10Hz Longer range detection Pros brPage 5br Magnetometers Magnetometers Large distant targets mask small local targets Difficult to pick out small target due to background noise No sense of direction of target on single Author: Michael Sedivy. Introduction. Edge Detection in Image Processing. MCMC and the Use of Gibbs Sampler. Input. Results. Conclusion/Future Work. References. Edge Detection. Detecting Edges in images is a complex task, but it useful in other image processing problems. Chapter 10. Objectives. Describe 12 types of handwriting exemplars that can be analyzed in a document.. Demonstrate an example of each of the 12 exemplars of handwriting traits.. Identify the major goals of a forensic handwriting analysis.. Questioned Documents:. Any document about which some issue has been raised or that is the subject of an investigation.. Objectives. : Determine the origin of a writing sample using the 12 exemplars. Examples of Questioned Documents. Originally from: Mr. . Syswerda. Forgery is the ACTION of altering or producing an object or information with the INTENT of deception.. Forgery often includes:. Signatures (on a check or other official document.). Originally from: Mr. . Syswerda. Forgery is the ACTION of altering or producing an object or information with the INTENT of deception.. Forgery often includes:. Signatures (on a check or other official document.). Chapter 10. Objectives. Describe 12 types of handwriting exemplars that can be analyzed in a document.. Demonstrate an example of each of the 12 exemplars of handwriting traits.. Identify the major goals of a forensic handwriting analysis.. Source: D. Lowe, L. Fei-Fei. Canny edge detector. Filter image with x, y derivatives of Gaussian . Find magnitude and orientation of gradient. Non-maximum suppression:. Thin multi-pixel wide “ridges” down to single pixel width. By the end of this chapter you will be able to:. Describe 12 types of handwriting characteristics . that can be analyzed in a document . Demonstrate an example of each of the 3 types of handwriting traits . OUTLINE. PIXEL BASED. FORMAT BASED. CAMERA BASED. PHYSICS BASED. GEOMETRIC BASED. PIXEL BASED METHODS: CLONING. Discrete Cosine Transform. Principle Component Analysis. PIXEL BASED METHODS: OTHER. Resampling. Chapter 10 Handwriting Analysis, Forgery, and Counterfeiting “The handwriting on the wall may be a forgery” —Ralph Hodgson, British poet Change Your Life Change Your Life * Vocabulary Counterfeiting Fig.1: Retinal image Different techniques are given in literature for macula detection. In [6], macula is detected using morphological properties of eye. [7] Presents the methodology to detect macula Image Types. All images can be thought of as “color” images since even black and white are colors. More commonly we distinguish between three types of images:. Color: an image containing any color. Applications. 报告人：程明明. 南开大学、计算机与控制工程学. 院. http://mmcheng.net/. Contents. Global . contrast based salient region . detection. ,. PAMI 2014. BING: Binarized Normed Gradients for Objectness Estimation at .