Image Processing - Palm Print Recognition

por razorgeneral
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This is the initial stage 1. Applying a threshold to convert gray scale image to 1-bit image 2. Applying partial contour detection algorithm 3. Identifying gaps between fingers 4. Rotating the image 5. Extract the palm portion of the hand for further processing

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Sobre Mim

Designed and Implemented Physical layer of WiMAX using Altera 3C16 FPGA - FFT / IFFT - Interleaving / De-interleaving - Forward Error Correction (FEC) * Reed Solomon encode/decode * Convolutional Encoder / Viterbi Decoder All simulation using MATLAB / SIMULINK. VHDL Generation using Simulink-VHDL coder. System level Engineer for Various Maritime Security Projects: - Embedded system using TI micro-processors / controllers - Analog Conditioning Circuitry (using Op-amp's) - Hi Speed / High Precision ADCs / DACs - Integrated SETRA pressure sensors (Analog, Digital), Temperature Sensors (2,3 - wire), Various MEMS sensors, Industrial Proximity Sensors (Baumer Inductive Switch Sensors) Image Processing: - Palm Recognition using Principal Component Analysis of Phase Information - Palm Recognition using Eigen - Palms (Eigen Values and Eigen Vectors) - Simulations in MATLAB, real time implementation in C as a desktop GUI Switched Mode Power Supplies - Step down / step up - High efficiency, low ripple - High quality Power supplies to support RF systems - High Current (upto 2A) Simulation using TINA-TI Spice based Program. RF Systems - Designed entire RF Front end for WiMAX Base Stations and CPEs - Customized RF Equipment's (RF Power Meter, Vector Signal Generator, Variable Attenuators) - High power (up to 4W)RF systems with good isolation. Customized Graphic User Interface (PC / Android) - All customized equipment had it's own GUI depending on client's requirement. - PC (win XP/Vista/Win8) and Android (3.2 and above) - QT Based open source GUI / Visual Studio using C/C++ USB Based Equipment - FTDI Based USB Devices

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