A method of describing fingerprint structure and identification algorithm using geometric characteristics.
Michio YamadaAkihisa KodateHideyoshi TominagaPublished in: Systems and Computers in Japan (1994)
Keyphrases
- improved algorithm
- detection method
- high accuracy
- computational complexity
- cost function
- dynamic programming
- detection algorithm
- optimization algorithm
- significant improvement
- experimental evaluation
- computational cost
- theoretical analysis
- identification rate
- preprocessing
- computationally efficient
- objective function
- clustering method
- tree structure
- selection algorithm
- similarity measure
- synthetic and real images
- optimization method
- k means
- probabilistic model
- matching algorithm
- high efficiency
- estimation algorithm
- recognition algorithm
- convergence rate
- classification algorithm
- single pass
- segmentation algorithm
- input data
- simulated annealing
- support vector machine svm
- em algorithm
- pairwise
- geometric constraints
- learning algorithm
- segmentation method
- classification method
- spatial and temporal information
- optimal solution
- neural network
- reconstruction method
- geometric features
- consistency check
- fingerprint images
- expectation maximization
- np hard
- genetic algorithm