Review Paper on Identifying Fake Images by Digital Image Processing

Many fake images are spreading through digital media nowadays. Detection of such fake images is inevitable for the unveiling of the image based cyber crimes. Forging images and identifying such images are promising research areas in this digital era. The tampered images are a detected using neural network which also recognizes the regions of the image that have been manipulated and reveals the segments of the original image. It can be implemented on Android platform and hence made available to common users. The compression ratio of the foreign content in a fake image is different from that of the original image and is detected using Error Level Analysis. Another feature used along with compression ratio is image metadata. Although it is possible to alter metadata content making it unreliable on its own, here it is used as a supporting parameter for error level analysis decision.