Forensic palynology: computer vision and geotechnologies to support criminalistics expertise

Pollen grains can provide valuable information to forensic palynology, such as the time of death or possible origin a corpse. Forensic Palynology is vital tool be used in criminal investigation because different environment has distinct pollen signatures. Brazil rich and diversified flora that suitable for application palynology. The purpose this research introduce palynology automation improve investigative method apply it automation. studied city vegetation types, which we performed assessments identify its correspondent types. PALINOVIC algorithm was developed using computer vision geotechnology techniques. Our results show correlate found samples by automatic identification with mapping likely vegetation. relate presence through images together database georeferenced plant species. It analyze collected eight bodies, where presented performance 90.51% grain classification tests. Furthermore, could correlated type body found. Thus, technique applied other urban centers from previous georeferencing plants, well database.