چکیده مقاله
Today, human’s behavioral and physical characteristics are used to identify them Themost important biometric feature used to validate or identify individuals is fingerprint On theone hand, the increase in the number of individuals, and the development of fingerprintdatabases, make it impossible to identify fingerprints traditionally So, automatic fingerprintidentification is needed In automatic fingerprint identification systems, an input fingerprintimage should be compared to all the images in the database, which is a very costly and timeconsuming task As a result, the first step in the fingerprint automatic identification process isto classify the database Classifying a large collection of fingerprint images into several sub collectionsdramatically reduces the time to search and identify an unknown fingerprint image in thatcollection A content based retrieval system usually involves two aspects of extractingfeatures and classifications The first step in the proposed method is to perform preprocessingon fingerprint images Afterwards, various properties of the images are extracted Also, in the proposed method, minutia split and end points are extracted from the imagesand stored as a set of two dimensional points as templates Then, based on the distancecomparison, similar minutia are found and returned as the result of the matching operation
کلیدواژهها
نویسندگان
Narjes Jabbari
Islamic Azad University, Malayer
Keramat Hassani
Islamic Azad University, Malayer
شیوه ارجاع
Jabbari, Narjes and Hassani, Keramat,1397,extracting optimized minutia for feature extraction in fingerprint classification,Second Conference on Energy Infrastructure, Electrical Engineering and Nanotechnology,Tehran
ارائهشده در
مجموعه مقالات دومین کنفرانس زیرساخت های انرژی،مهندسی برق و نانو فناوری19 اردیبهشت 1397 · تهران