Palmprint Recognition Based On Bit-Plane Extraction
نویسنده
چکیده
In this paper, a palmprint recognition system using bit-plane extraction with MLP neural network is presented. It is an approach where the palmprint feature is extracted by slicing the image into 8 bit-planes. The extracted bit-planes are then serves as input data into the neural network. MLP neural network is applied to train and test images for recognition. Networks are simulated for a few configurations and the results are compared. Performance is evaluated by comparing recognition rates between single bit-plane and benchmarked gray-level on dataset of 100 samples. FAR, FRR and HTER are also calculated to evaluate the recognition rate. Key-Words: Palmprint recognition, bit-plane feature extraction, image processing, multilayer perceptron (MLP), pattern recognition.
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