Abstract
The identification of a person has become, crucial part in this physical world (fast growing) identification features of a person can be included iris, Fingerprints etc. The fingerprint plays an important role in crime investigation, to identify the criminals which makes easy to solve the crime. The fingerprint is collected from the crime scene. These images are stored in digital format saved in database. The image is pre-processed using techniques acquisition, Enhancement, Thinning fingerprint image features are extracted from the pre-processed image. These pre-processed data is tested and trained by CNN model using random forest and decision trees these algorithms, Algorithm identifies the criminals based on matching accuracy.
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