Segmentation Techniques for Overlapped Latent Fingerprint Matching
1K.Deepa, Assistant Professor, Department of CSE M.Kumarasamy college of Engineering.
2Dr.S.Thilagamani, Professor, Department of CSE M.Kumarasamy College of Engineering.
Manuscript received on September 14, 2019. | Revised Manuscript received on 27 September, 2019. | Manuscript published on October 10, 2019. | PP: 1849-1852 | Volume-8 Issue-12, October 2019. | Retrieval Number: L28631081219/2019©BEIESP | DOI: 10.35940/ijitee.L2863.1081219
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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: Image processing is the technique used for analyzing the images by converting them into a digital form so that analysis on the images can be done for some purpose. Forensic department uses the images for identifying the suspects based on their biometric information. The biometric information can be anything such as, fingerprints, iris or may be heart beat. Fingerprint is one of the largely and widely used biometric in major areas. The fingerprint information collected at the crime scene is useful for identifying the victim who have been committed the crime. In case of the rolled or plain fingerprint, it is easy for the analyst to find out the one who is found guilty. But it is not the case in latent. The latent fingerprints are noisy, blurred and smudgy. For which the technique known as Descriptor Based Hough Transform is used. By using the minutiae information the fingerprint can be matched with the rolled or plain fingerprints and identified after fingerprints are segmented from the background.
Keywords: Image Processing, Biometric, Fingerprint, Latent, Descriptor Based Hough Transform
Scope of the Article: Image Processing