Fingerprint image identification plays a critical role in crime detection and forensic investigations. By analyzing the unique patterns present on the friction ridge skin of an individual's fingertips, fingerprints serve as a reliable biometric identifier. This paper provides an overview of the process involved in fingerprint image identification for crime detection. The collection of fingerprint images can be done using various methods, including ink and paper, live scanning devices, or optical scanners. In crime scene investigations, latent fingerprints are often lifted from surfaces using techniques such as dusting or chemical development. Once collected, fingerprint images may undergo enhancement techniques to improve clarity and contrast. The next step involves feature extraction, where distinctive characteristics, such as ridge endings and bifurcations, are identified and recorded. These features are used to generate a fingerprint template, a standardized digital representation of the fingerprint. Comparison is then performed between the captured fingerprint image or latent print and a database of stored fingerprints.