Aim: To enhance the accuracy of fingerprint image based on novel fuzzy logic systems and artificial neural network algorithms. Materials and Methods: Classification is performed by a Novel fuzzy logic system (N=10) over an artificial neural network (N=10). Sample size is calculated using GPower with pretest power as 0.8 and alpha 0.05. Result: Mean accuracy of Novel fuzzy logic systems (98%) is high compared to artificial neural networks (94%). The significance value for performance and loss is 0.601 (p>0.05). Conclusion: The mean accuracy of the fingerprint image enhancement system using novel fuzzy logic is better than artificial neural networks.