[PDF] Top 20 Design and Implementation of Fingerprint Identification System Based on KNN Neural Network

... include fingerprint, face, iris, hand geometry, voice, palm print, and handwritten signatures ...The fingerprint recognition system is one of the widely used biometric authentication systems, the ... See full document

... Automatic Forensic Video Retrieval (AFVR): In this method ,the video (as footage ) is processing to get features from it and then build a video index, so when an incident happen, the investigators can searches the video ... See full document

... HVAC system using artificial neural network and fuzzy logic ...a neural controller [12], [17], ...Artificial neural networks are also used to emulate the plant dynamics, in order to ... See full document

... The Neural Network Trainer (NNT) was originally developed as a tool for training neural networks for use on a PC or comparable computing ...a neural network architecture designed by ... See full document

... systems based on token or knowledge, they are vulnerable to attacks that can decrease their security ...authentication system that use physiological (fingerprint, face) or behavioral (speech, ... See full document

... BP network is simple, so it has been widely applied in ...control system, BP network as a neuron control parts, can be used for device control system or information flow control ... See full document

... online identification method based on Radial Basis Function(RBF) has been proposed in this ...of neural network was revised in time according to the speed of motor and phase current, the duty ... See full document

... Gait Energy Image (GEI) method to apply recursive principle component analysis technique achieved better recognition rate [9, 10, 11, 12]. Gait Energy Image (GEI) representation were used for different application ... See full document

... personal identification is critical in a variety of applications in our electronically interconnected ...a fingerprint biometric system based on texture ...contrast based enhancement ... See full document

... to design and develop a pattern recognition system with using Artificial Neural Network (ANN) that can recognize the type of image based on the features extracted from the choose ...of ... See full document

... during implementation phase to implement it efficiently retinal scanners are to be used but these scanners are expensive hence we used samples from fundus ...The system can be incorporated in areas that ... See full document

... system. In this method, 33000 data used as an input and output data which extracted from the experimental setup for prior paper and it's distributed into two inputs and one output. Whereas, all data separated into ... See full document

... With the typical modular exponentiation algorithms used to implement the RSA algorithm, public key operations take O(k2) steps, private key operations take O(k3) steps, and key generation takes O(k4) steps, where k is ... See full document

... The results of analyzing our proposed IBFS have exhibited the effect of integrating IFPRS and IFRS over classification accuracy. ALA algorithm is used in the research to improve the accuracy in the pre-processing phase ... See full document

... rangkaian neural ataupun neural network telah digunakan sebagai medium ramalan untk membuat ramalan bagi sesetengah persamaan matematik yang ...jenis neural network yang biasa digunakan ... See full document

... LPC2148 Pro Development Board is a powerful development platform based on LPC2148 ARM7TDMI microcontroller with 512K on-chip memory. This board is powered by USB port and does not need external power supply. The ... See full document

... intelligent system hybrid intelligent system is one that combines is one that combines at least two intelligent ...a neural network with a fuzzy ... See full document

... The current manufacturing industry is highly competitive. Reducing inventory and strengthening the cost of raw materials control are powerful means to improve market competitiveness. But the sale of the product is often ... See full document

... The main motivation of this project is to design a real time human fall detection and alert device for fall injuries reduction and medical care improvement. The fall accidents are a major cause of accidents with ... See full document

... century. Neural-network (NN) for example has become a popular approach to solve the optimization ...the neural networks lies in their ability to represent both linear and non-linear relationships and ... See full document