Detection and Rectification of Distorted Fingerprints
Rs3,500.00
9999 in stock
SupportDescription
Biometric is the process of identification of the person based any one of the human body part. Identification of the persons using finger print is more commonly employed in all the recognition systems. Features were extracted from the finger print images based on the ridges and edges in the input images. Supervised learning methods were employed for the recognition of the palm print images. For the identification of the person the features were extracted from the images. The extracted features were then recognized using distance metrics. Finger print is most commonly used biometric. Finger print of each and every person is different and hence the authentication can be given more effectively using finger print. The features were extracted from the finger print images. The Minutiae points and orientation map features were extracted from the finger print images. For the recognition of the finger print distance measured based on Euclidean distance is used. The performance of the process can be measured based on the performance of the classifier used. The input finger print is taken. The features were extracted from the finger print using Minutiae feature extraction and Orientation map estimated. The Minutiae feature extraction is helpful for the identification of the important ridges and corners in the input images. The Orientation map features were extracted inorder to extract the texture based informations in the images. The extracted features helps in the identification of the finger print of each person uniquely. The Orientation map features identifies the ridge informations from finger print exactly. Matching of finger print is employed based on the measurement of the distance between the features. The performance metrics like True positives, True Negatives, False Positives, False negatives, True Positive rate (Sensitivity), false positive rate (Specificity) and accuracy were measured which proves that the proposed method is efficient comparing to the existing methods for finger print recognition.
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