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Algorithm of Gesture Recognition Descriptors Based on Fourier

Author: SongRuiHua
Tutor: WangQuan
School: Xi'an University of Electronic Science and Technology
Course: Computer System Architecture
Keywords: Edge tracking Fourier descriptors BP neural network Gesture recognition
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 283
Quote: 4
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Abstract


The use of gestures is an important human-computer interaction , vision-based gesture recognition is a key technology for a new generation of human-computer interaction . From gesture image preprocessing , gestures feature extraction and gesture recognition three vision-based gesture recognition algorithm . The image pre-processing , including image enhancement , image segmentation and image morphological processing . Firstly, the input image smoothing, sharpening processing , and then using the thresholding method based on the gradation from the image segmentation gesture last gesture partial image expansion and etching treatment , to achieve the best gesture segmentation effect . Gesture feature extraction part , the lower the gesture image recognition rate are susceptible to noise interference problem , the proposed gesture feature extraction algorithm based on two - dimensional polar coordinate Fourier descriptors . The algorithm design Descriptors translation, scale , rotation invariance , compared with the traditional one-dimensional Fourier descriptors , the descriptors not only the use of the the gesture image boundary information , extracted from gesture image inside information by the boundary noise less interference , better versatility and higher robustness . Gesture recognition , recognition method based on BP neural network . First , use a large number of sample images BP training network by training the successful network to achieve the the gesture image recognition , and to determine the correctness of the identification in accordance with the output result . The experimental results show that this paper, based on two - dimensional polar coordinate Fourier descriptors and BP neural network static gesture recognition algorithm recognition rate can reach 94% , is an effective static gesture recognition algorithm .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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