Description: 在WIN XP/2000 下的对手写输入的汉字的识别处理，支持手写输入，支持侯选字区域。-WIN XP/2000 in the handwriting input of Chinese characters on the recognition processing, support handwriting input in support of a candidate word regional. Platform: |
Size: 7349248 |
Author:刘林涛 |
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Description: 本程序基于 BP 神经网络完成了对用户使用鼠标输入的特定手势的识别，并且可以学习
用户创建的新手势。程序中已经存储的手势是 Palm 系列掌上电脑中手写识别专用的
Graffiti 字体的数字 0～9，这种字体的特点是每个字由一个连续笔划构成，适合用一个连贯的鼠标手势表示： -This procedure based on BP neural network was completed using the mouse to the user input of a specific gesture recognition, and users can learn to create new gestures. Procedures have been stored in the Palm series of hand gestures is a computer dedicated Graffiti handwriting recognition digital fonts 0 to 9, the font of each word is characterized by a continuous strokes by the composition, for consistency with a mouse gesture, said: Platform: |
Size: 296960 |
Author:郑强 |
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Description: this will be helpful to those referring for handwriting recognition using microcontroller... atmel mega 32 is the microcontroller used here-this will be helpful to those referring for handwriting recognition using microcontroller... atmel mega 32 is the microcontroller used here..... Platform: |
Size: 651264 |
Author:fpga |
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Description: Hidden Markov Models (HMM) have been used with
some success in recognizing printed Arabic words. In this
paper, a complete scheme for totally unconstrained
Arabic handwritten word recognition based on a Model
discriminant HMM is presented. A complete system able
to classify Arabic-Handwritten words of one hundred
different writers is proposed and discussed. The system
first attempts to remove Platform: |
Size: 52224 |
Author:ammar |
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Description: 手写汉字变形问题是非特定人脱机手写汉字识别中的关键同题。本文从预处理的角度探讨了直接从汉字点阵图像上矫正手写变形、减小属于同一类别的不同模式之I町差异的途径，提出了一种新的非线性规一化方法。该方法同时考虑了汉字笔画像素点和背量空白像素点，汉字点阵中的所有像素点均具有笔画密度描述，且将不同的像素点赋予不同的笔画密度，笔画密度时描述具有二维性、局部性，使得笔画密度的描述更为合理，规一化后的汉字点阵中笔画的分布更加趋向均匀．实验结果证实了本文方法的有效性。-The problem of handwritten Chinese character deformation is the key problem of non- specific person s offline handwritten Chinese character recognition. In this paper, we discuss the way of correcting the handwriting deformation directly the Chinese character lattice image and reducing the difference between the different patterns belonging to the same category the pretreatment point of view, and propose a new nonlinear normalization method. This method also takes into account the pixel of Chinese characters and the white pixels of the back volume. All the pixels in the Chinese word lattice have the description of the stroke density, and the different pixels are given different stroke density. The stroke density is described as having two dimensions , Localized, making the description of the density of strokes more reasonable, standardized distribution of Chinese characters in the distribution of strokes more evenly evenly. The experimental results confirm the effectiveness of the p Platform: |
Size: 193536 |
Author:东方 |
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Search - handwriting recognition word