Forensic Science Research Summary for Forgery Detection of Digital Images
Monika1, Dipali Bansa2
1Ms Monika*, PhD degree in ECE, MRIIRS FARIDABAD.
2Dr Dipali Bansal, Director-IQAC and Associate Dean – Academics with MRIIRS, Faridabad, NCR, India
Manuscript received on February 06, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on February 30, 2020. | PP: 1608-1618 | Volume-9 Issue-3, February, 2020. | Retrieval Number: B2563129219/2020©BEIESP | DOI: 10.35940/ijeat.B2563.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An important measure of proof collection, storage, and authentication in forensic sciences, which decide the safety and security of any system documents, which can be either portable document formats or scanned images. To gather evidence, or plan a forensic investigation digital images are secured with different modern methodologies. Digital image analysis includes image recovery and surveillance for image information improvement. The goal of forgery detection is to maximize the extraction of information from manipulated images, particularly noisy and post-processed images. Because digital image processing is becoming popular with many advantages in scientific and engineering applications, the forgery techniques are also growing at a rapid rate. Therefore, the main focus is on different types of forgery detection in digital image processing with the help of all transform techniques and comparing their best results for further improvement in order to generate a new approach for a future forensic science investigation.
Keywords: Forensic Science, Digital Image Forensics Analysis, Forensic Investigation, Transform Techniques.