Abstract
Fingerprint is a pattern of ridges and valleys. Each person has a unique fingerprint structure and is developed for biometric authentication systems than others because fingerprints have advantages such as: feasible, distinct, permanent, accurate, reliable and acceptable all over the world for security and person identity. Fingerprints are considered as legal proofs of evidence in courts of law all over the world. Fingerprint based gender classification can be studied using ridge based approach and image based approach. Ridge based approach considered ridge related parameters like ridge count, ridge density, ridge width, ridge thickness to valley thickness ratio. Image based approach do not work on physical parameters related to ridge, but work on measuring parameters like frequency and region parameters of an image. This paper compares ridge based approach and image based approach in terms of processing time, accuracy, simplicity in calculations and compatibility with other methods.
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