Forensic image analysis for determining age gender and height of an individual

Abstract

In forensic analysis, collecting evidence at the crime scene is newlinechallenging. Forensic image processing is vital to provide the solution for crime newlinescene investigation. Fingerprints, bare footprints, blood samples, blood newlinescattering, shoe prints, and tier marks are important investigation elements at newlinethe crime scene. Based on the crime scene environment, identification and newlinecollection of evidence may have some difficulties. Evidence from the body, newlinesuch as hair, fluids, DNA, and bone X-ray, can help solve the forensic newlineinvestigation. After collecting evidence, the classification of victims and newlinesuspectsare important to the investigation process. The identification of the newlinevictim or suspect s age and gender is crucial to proceed. newlineFingerprints serve as highly effective means of personal newlineauthentication due to their inherent uniqueness, durability, and security. newlineFingerprinting techniques are biometric methods employed for finding newlineindividuals using physical features. A fingerprint impression image contains newlinedifferent patterns on each unique person. newlineThe proposed 12-layered Convolutional Neural Network (CNN) with newlineDeep Learning (DL) model is used to classify gender through fingerprint analysis. newlineThe primary aim is to streamline the comparison process within large databases newlineobtained from automatic fingerprint recognition systems. It is observed that the newlineuse of DL models resulted in a faster and more accurate classification process. newline