Fingerprints are one of the most present and valuable pieces of physical evidence in forensic science and can often, to some extent, be found at the crime scene. These marks, a series of ridges and furrows and their random combinations on the finger surface [1,2], are assumed to be unique for every person, pointing out that there are no two people on Earth that have identical fingerprints [3]. There are three distinct types of fingerprint: patent, plastic, and latent, that could be recovered from the crime scene [4,5]. On the other hand, latent fingerprints are impressions secreted on a surface and are usually imperceptible [6-8]. Identification of these latent fingerprints is one of the most important tasks for law enforcement agencies in order to identify persons suspected of having committed a crime [3]. Fingerprint detection and analysis for individual identification has undergone tremendous changes since its introduction to the investigation of crimes in 1892 [9,10]. Many approaches are used for their visualization, but two main and routinely employed are