PPT-IMAGE FORGERY DETECTION Justin Siao

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. State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Consumer application: Apple . iPhoto. http://www.apple.com/ilife/iphoto/. Forgery – First Step. Ascertain whose name is forged:. Maker of note. Payee (indorser). Drawer. Different rules apply based on identity/status of person whose name is forged.. Forged Maker’s Signature on Note. 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. State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Consumer application: Apple . iPhoto. http://www.apple.com/ilife/iphoto/. 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.). 2011/12/08. Robot Detection. Robot Detection. Better Localization and Tracking. No Collisions with others. Goal. Robust . Robot . Detection. Long . Range. Short. . Range. Long Range. C. urrent . M. ethod. 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.). 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. Handwriting Analysis. Used to establish whether or not forgery has been committed. Forgery. —illegal act of reproducing someone’s signature without his/her permission. Most commonly found when people illegally sign another persons name on a check to steal money!. Colors represent nature of change (. e.g. ., more or less greenness, . etc.. ). USGS Image. 2011 Minimum. 2011 Sea ice extent. NASA Video. Change Detection in Remote Sensing. Using multi-temporal satellite imagery to measure change. 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.). 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 Ales . Zita. Publication. Digital Image Forgery Detection Based on Lens and Sensor Aberration. Authors. . : . Ido. . Yerushalmy. , . Hagit. Hel-Or. . Dept. of Computer Science, University of Haifa, Israel. 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 .