Handwritten digit recognition system based on tms320vc 100手写数字识别系统
High accuracy handwritten digits recognition system with cascaded grouped bp net 网络的高精度手写数字识别
In this paper , a handwritten recognition system is set up . this system includes learning part and recognition part 本文建立了一个脱机手写数字识别系统,系统主要是由两个部分构成即:学习部分和识别部分。
A handwritten numeral recognition system based on the combined classifier is built up in this paper . many pattern recognition ways and many handwritten numeral characters are used in the system 本文建立的基于组合分类器的手写数字识别系统,综合使用了多种模式识别方法,全面反映了手写体数字各方面的特征。
The original and modified algorithms are compared on many standard benchmarking datasets , including face detection , usps , and mnist handwritten digit recognition problems . numerical results show that the modified algorithm out - performs the original algorithm with respect to training tune in most cases , especially when the training data are noisy and overlapping 人脸检测、 usps ,和mnist手写数字识别等数据的实验结果显示改进的算法在很多情况下优于原来的算法,尤其是在强噪声和类间重叠的数据下这种改善更为明显。
手写: write; take notes by oneself数字识别: digital recognition数字识别: numerical recognition手写汉字识别技术: hccr handwritten chinese character recognition孤立数字识别: isolated digit recognition连接数字识别: connected digit recognition连续数字识别: continous digit recognition数字识别标记: numerical markings数字识别系统: numerical recognition system数字识别信号: dis digital identification signal自动数字识别: automatic digit recognition编码数字识别色码: cdvcc自动数字识别自动数字码识别器自动数字识别: automatic number identification字识别: word recognition自动数字码识别器自动数字识别: automatic number identification对话字识别: spoken word recognition孤立字识别: isolated word recognition汉字识别: chinese character recognition名字识别: name recognition文字识别符: text identifier字识别率: word recognition rate字识别器: word recognizer大写数字: chinese numerals; word figure小写数字: chinese numerals规范数字识别日字算法的初步研究: the initial study on how regular figures distinguish the way of calculation with the word