Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

This is an Open Access publication published under CSC-OpenAccess Policy.
Publications from CSC-OpenAccess Library are being accessed from over 74 countries worldwide.
Conversion of Commercial Shoe print to Reference and Recovery of Images
Rathinavel S, Dr S.Arumugam
Pages - 164 - 169     |    Revised - 30-09-2009     |    Published - 21-10-2009
Volume - 3   Issue - 4    |    Publication Date - August 2009  Table of Contents
shoe mark, histogram, image processing
In every criminal investigation it is necessary to determine and prove that a particular person or persons may or may not have been present at the scene of a crime. For this reasons, the collection, preservation and analysis of physical evidence has become more frequent in the law enforcement community[5]. Since criminals must enter and exit crime scene areas, it should therefore, be reasonably assumed that they may leave traces of their own footwear. Criminals have become smarter and wiser by beginning to frequently wear protection over their hands to avoid leaving fingerprints, and masks over their faces to avoid eyewitness identification. However, they are rarely aware of, or make little attempt to conceal footwear. During an every day routine it is normal to see individual wearing gloves, but it’s not so over their shoes. In shoe print biometrics one of the important tasks is the preparation of reference data from the available sources. But to use these images for feature extraction and recovery from data bases requires certain steps like conversion to gray scale, image enhancement before storage of reference image and image restoration. In this paper we have taken example shoe image from a commercial web site and converted it to gray scale to reduce the size of storage then enhanced the image using histogram technique. Image is ready for analysis by various techniques. Keywords: Image processing, shoe mark, histogram, constrained least squares method, segmentation
1 Google Scholar 
2 ScientificCommons 
3 Academic Index 
4 CiteSeerX 
5 refSeek 
6 iSEEK 
7 Socol@r  
8 ResearchGATE 
9 Bielefeld Academic Search Engine (BASE) 
10 OpenJ-Gate 
11 Scribd 
12 WorldCat 
13 SlideShare 
15 PdfSR 
16 Free-Books-Online 
1 Raefel C.Gonzalez, Richard E. Woods, Steve L. Eddins, “Digital Image Processing using MATLAB”,2nd Edition, May 2005.
2 Anil .K.Jain, “Fundamentals of Image Processing”, Prentice Hall, 2004.
3 A. Alexander, A.Bouridane, Crookes, D. “Automatic Classification and Recognition of Shoeprints”, Proc. of Seventh Int’l Conf. on (Conf. Publ. No. 465) Image Processing and Its Applications, vol. 2, 1999.
4 W.Ashley, “What Shoe Was That? The User Computerized Image Database to Assist Identification, “Forensic science Int’l, vol.82, 1996
5 W.Bodziac.”Footwear Impression Evidence: Detection, Recovery and Examination”. CRC Press, 2000.
6 N.Otsu, “A threshold selection method from gray level Histogram”, IEEE Transactions on Systems, Man and Cybernetics,9:62-66,1979.
7 Hilderbrand, Dwayne. S , “Footwear, The Missed Evidence” Staggs Publishing, 1999
8 “Imaging for Forensic And Security”, Springer U.S Publisher, ISBN 978-0-387- 09531(print)978-0-387-09532-5(online), www.springerlink.com.
9 Chandra Sekhar Panda & Prof. (Dr.) Srikanta Patnaik, “Filtering Corrupted Image and Edge Detection in Restored Grayscale Image Using Derivative Filters, “International Journal of Image Processing, (IJIP) Volume (3) : Issue (3), 2009
10 W.K.Pratt, “Digital Image Processing”, John Wiley and Sons, 1992
11 Ernest.L. Hall, “Computer Image Processing and Recognition”, Academic Press, 1979
Professor Rathinavel S
- India
Mr. Dr S.Arumugam
- India