ART and Modular Neural Network Architecture for Multilevel Categorization and Recognition of Fingerprints

ART1 based clustering approach is used for classification, which groups fingerprints into more compact classes. ART1 is a efficient technique for grouping fingerprints in to N number of classes, which speedup the process of fingerprint recognition. After classification of fingerprints the keyfingerprint class is used for the purpose of fingerprint identification. The key-fingerprint is recognized by using Monolithic and Modular Neural Network and their performance has been compared on the bases of time and accuracy. Due to modularity, Modular Neural Network gives better performance on the classified databases as compared to Monolithic Neural Network even with poor quality fingerprints. Monolithic Neural Network takes average of 44.7 seconds with an accuracy of 98%, correct recognition where as Modular Neural Network takes average time 1.84 seconds with an accuracy of 100% correct recognition.