PATTERNPATTERN RECOGNITIONRECOGNITION OFOFWEAR,WEAR, CLASSCLASS ANDAND CS ININ FOOTWEARFOOTWEARIMPRESSIONIMPRESSION EVIDENCEEVIDENCEcaes MediDepartment of Medical IllustrationUniversity of Limpopo, Medunsa Campusovicl IllustratiAudiisual Ser-VHoosain M Ebrahim&on
IMPRESSION EVIDENCEObjects or materials which haveretained the characteristics of otherobjects or materials which havebeen impressed against them
Footwear impressions can bepositively identified as havingbeen made by a specific shoe
PHOTOGRAPHY OFFOOTWEAR IMPRESSIONS General crime-scene photographs Examination quality photographs
OBLIQUE LIGHT PHOTOGRAPH OFTHREE-DIMENSIONAL IMPRESSIONSCamerao-45o-30o-15Light source(Impression)
OBLIQUE LIGHT PHOTOGRAPH OFTWO-DIMENSIONAL IMPRESSIONCameraLight is reflected off dust particlesand into cameraLight source(Impression)
LIGHTINGLight source3rd position0oo290o70o90o270190Light source2nd positionLight source1st positiono180o
WEAR OF THE SHOE Position of wear Degree of wear
Wear - The erosion of the outsoledue to frictional and abrasiveforces that occur between theoutsole and the ground
INFLUENCES ON THEWEAR OF SHOE OUTSOLES Foot type andfunction Occupation Habits Body typeShoe styleShoe materialsWalking surfaces
Wear patternRefers to the wear on the entireshoe or a portion of the shoe
Wear patternAnatomical wear pattern
Wear characteristics alone arenot accepted as a means ofpositive identification
CLASS AND IDENTIFYINGCHARACTERISTICS Knowledge Pattern recognition Assessment
CLASS CHARACTERISTICS Size Pattern design Contour of imprint Shape
COMBINED CLASSCHARACTERISTICS Size Design
IDENTIFYINGCHARACTERISTICSResult when something is randomlyadded to or taken away from a shoeoutsole that either causes or contributesto making that shoe outsole unique
Pattern Recognition Techniquesused as searching criteria
RECOGNITION OFMANUFACTURINGMETHODS
HAND ENGRAVED MOULD-MAKINGTwo hand-engraved moulds using same templatesand pantograph but resulting in different “gross designs”PantographTemplates
TypesPreliminary classificationFeature classification
Shoe impressionsPartialComplete
Shoe sole collection systemsassist in determining theclassification of full shoeimpressions
Different pattern designs andpossible small differenceswithin patterns
RecordedImpressions(filed)Pattern designsFeatures
FOOTWEAR IMPRESSIONSA valuable form of physical evidenceProvide an important link betweenthe criminal and the crime scene
Development offootwear collectionKnown criminalsShoe Stores
ESTABLISHMENTOF A DATABASE Link crime scenes Possible suspect Brand name of shoe
FEATURE CLASSIFICATION Pattern on edgeToe areaHeel areaCirclesShapes within shapesPatterns surrounding motifs,letters, numbers
TongueVampHeel collarLogoHeel back strapHeel quarterHeel stabilizerMulti-density midsoleOutsoleMedial sideA r chLateral sidea r eaBrand Nameor Logo AreaBorder
PATTERN DESIGNS A hollow circular area insidea circular shape Numerals inside a circular shape Unusual shaped studs on the edgeof the sole Motif engraved in the border of the sole ETC
FEATURE CLASSIFICATIONCATEGORIESThe edge areaCircular areas surrounded by a valleyCertain featuresPatterns on soleA pattern/shape inside anotherpattern/shape The toe/back of heel area
MAIN GROUPS OFTHE PATTERNSDigit catedCrepe and plainContinuous border
PATTERN TYPES INTHE MAIN GROUPSDigit (second)Shape01CircularTriangular Width of line/broken/continuoushigh/low width of line/broken/continuousBar patternContinuous border continuous border of the shoe soleWave or Zig-Zag
First Digit Second Digit71PatternShapeContinuous TriangularBorderThus 71 means that there are triangular studsin a continuous border
DEFINITIONPattern recognition is the identificationof normal structure and appearance onan image and those variations ofappearances which may indicate adisordered state
PHYSICAL PATTERNSIN IDENTIFICATIONIdentification based on structuralfeatures is the recognitionof a physical pattern
PHYSICAL PATTERNSIN IDENTIFICATION Physical matching Comparison of markings General shape or form comparison
Database of: Shoeprints at scene of crime Shoes of suspects Shoes on the market
NEURAL NETWORKSIN FORENSIC SCIENCE
University of Limpopo, Medunsa Campus PATTERN RECOGNITION OF WEAR, CLASS AND IDENTIFYING CHARACTERISTICS IN FOOTWEAR IMPRESSION EVIDENCE PATTERN RECOGNITION OF WEAR, CLASS AND IDENTIFYING CHARACTERISTICS IN FOOTWEAR IMPRESSION EVIDENCE M e d i c a l I l l u s t r a t i o n & A u d i o-V i a l S e r v i c e s. IMPRESSION EVIDENCE Objects or materials which have retained the characteristics of .
18-794 Pattern Recognition Theory! Speech recognition! Optical character recognition (OCR)! Fingerprint recognition! Face recognition! Automatic target recognition! Biomedical image analysis Objective: To provide the background and techniques needed for pattern classification For advanced UG and starting graduate students Example Applications:
the pattern recognition alignment model. For some patterns, Edge mode over-smooths and blur s the pattern line edge(s), degrading pattern recognition performance. In this case, Enhanced Edge maintains the sharp edge lines and provides a robust solution for pattern recognition. Figure 6 shows an example where Enhanced Edge will perform
Lower Wear Pad L 204mm Doosan 9 - Lower wear pads. LOWER WEAR PADS CODE PART DESCRIPTION BRAND F11B01 Upper Wear Pad L 156mm Doosan Daewoo 8508376 Lower WearPad Class II L 160mm Hyster Yale 10 - Lower wear pads. MAST WEAR PADS AND HOOKS CODE PART DESCRIPTION BRAND 61356-23600-71 Mast Wear Pad
Pattern Recognition 9 Given an input pattern, make a decision about the "category" or "class" of the pattern Pattern recognition is a very broad subject with many applications In this course we will study a variety of techniques to solve P.R. problems and discuss their relative strengths and weaknesses
wear of insignia, wear of the shoulder sleeve insignia (current organization and former wartime service), and wear of the dress uniform insignia; adds wear of insignia on the old and new versions of the female blue and white coats, wear of the full-color U.S. flag cloth replica, and a new paragraph on the wear .
Pattern Recognition, which can be found on the web as a pdf. This text contains a solid introduction to pattern recognition beyond just neural nets, especially the underlying statistical foundation. The text covers traditional pattern recognition, probability density estimation, single and multiple layer networks.
2E1395 - Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification Preface This document1 is a solution manual for selected exercises from "Introduction to Pattern Recog-nition" by Arne Leijon. The notation followed in the text book will be fully respected here. A
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