Fingerprint and Palmprint Multi-Modal Biometric Security System
Pappala Appala Naidu · 2017
In this work, fingerprint and palm print multi-modal biometric security system is proposed.In this proposed work some of the common features of finger print and palm print images are identified and the process is carried out for authentication.At first, the preprocessing steps are completed on chosen images which include binarization, thinning and minute extraction.Binarization is for identifying the important ridges of finger print and palm print images and later on thinning is applied to eliminate the repetitive pixels on the binarized images.Using minute extraction different angles are formed for the thinned images for choosing the specific area of the images.In the next step for identifying the specific area in the finger print images region of interest is carried out.After the initial stage (preprocessing) features are extracted by using Feature Extraction method from both the finger print and palm print images and all the extracted features are combined to form a feature vector element.Secrete key is generated using the fuzzy extractor from the biometric features and stored in the fuzzy vault.The generated key and obtained vector elements are stored in the database.In final stage authentication methods are carried out for the test images.In this method feature of finger print images and palm print images are extracted and verified with the fuzzy vault and then a secrete key is generated.If the key generate and key stored in database are matched then the process is successful authentication or else it is failure authentication.