Recommended
More Related Content
Viewers also liked
Similar to On criminalidentificationin color skin images usingskin marks (rppvsm) and fusion with inferredvein patterns
Similar to On criminalidentificationin color skin images usingskin marks (rppvsm) and fusion with inferredvein patterns (20)
More from LogicMindtech Nologies
More from LogicMindtech Nologies (20)
Recently uploaded
Recently uploaded (20)
On criminalidentificationin color skin images usingskin marks (rppvsm) and fusion with inferredvein patterns
- 1. Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Title: OnCriminalIdentificationin Color Skin Images UsingSkin Marks (RPPVSM) and Fusion with InferredVein Patterns Abstract—Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) were recently introduced as a biometric trait for identification in cases where the evidence images show only the non-facial body parts of the criminals or victims, such as in child sexual abuse and riots. As manual RPPVSM identification is tiring and time consuming, an automated RPPVSM identification system is proposed in this paper. The system is comprised of skin segmentation, RPPVSM detection, and RPPVSM matching algorithms. The system was evaluated on 1,200 back images collected from 283 Asian and Caucasian subjects in varying pose and viewpoint conditions. The system achieved rank-1 and rank-10 identification accuracies of 76.79% and 88.97% respectively, higher than identification accuracies given by existing skin mark detection methods previously proposed for face recognition systems. To handle identification with limited numbers of RPPVSM, a fusion scheme with inferred vein patterns is also proposed. The fusion was evaluated on 2,360 images of chests, forearms, and thighs collected from mostly Asian subjects, who tend to have fewer RPPVSM than Caucasian subjects. The results show that the fusion improves vein identification in all body parts with improvement rates varying between 2% and 5% depending on the number of RPPVSM detected. To the best of our knowledge, this is the first work on automated identification in color skinimages based on non-facial skin marks and fusion with inferred vein patterns in forensic settings.
- 2. Software & Hardware requirement: 1. Hardware requirement: 1. PC 2. RAM minimum 2GB 3. HDD minimum 100GB 2. Software requirement: 1. MATLAB 7.0 2. Signal processing toolbox 3. Image processing toolbox 4. Mathematical toolbox PROJECT FLOW: First Review: Literature Survey Paper Explanation Design of Project Project Enhancement explanation Second Review: Implementing 40% of Base Paper Third Review Implementing Remaining 60% of Base Paper with Future Enhancement (Modification) For More Details please contact Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Mail: logicmindtech@gmail.com