#Input outguess output pdf

239000011159 matrix material Substances 0.000 claims description 20.Assignors: CHEN, CHUNHUA, SHI, YUN-QING Publication of US20070177791A1 publication Critical patent/US20070177791A1/en Application granted granted Critical Publication of US7925080B2 publication Critical patent/US7925080B2/en Status Active legal-status Critical Current Adjusted expiration legal-status Critical Links Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.) Filing date Publication date Application filed by New Jersey Institute of Technology filed Critical New Jersey Institute of Technology Priority to US11/331,767 priority Critical patent/US7925080B2/en Assigned to NEW JERSEY INSTITUTE OF TECHNOLOGY reassignment NEW JERSEY INSTITUTE OF TECHNOLOGY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Original Assignee New Jersey Institute of Technology Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)

( en Inventor Yun-Qing Shi ChunHua Chen Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.) Active, expires Application number US11/331,767 Other versions US20070177791A1

#Input outguess output pdf

Google Patents Method for identifying marked images based at least in part on frequency domain coefficient differencesĭownload PDF Info Publication number US7925080B2 US7925080B2 US11/331,767 US33176706A US7925080B2 US 7925080 B2 US7925080 B2 US 7925080B2 US 33176706 A US33176706 A US 33176706A US 7925080 B2 US7925080 B2 US 7925080B2 Authority US United States Prior art keywords coefficient difference image difference array training classifier Prior art date Legal status (The legal status is an assumption and is not a legal conclusion. Google Patents US7925080B2 - Method for identifying marked images based at least in part on frequency domain coefficient differences US7925080B2 - Method for identifying marked images based at least in part on frequency domain coefficient differences