Description: 一个能进行手写体文本识别的分类器，训练特征找的很简单，不过分类效果貌似不错。-One can recognize handwritten text classifier, trained to find the characteristics of the very simple, but looks like a good classification results. Platform: |
Size: 1020928 |
Author:海滨 |
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Description: 此程序用matlab开发平台实现对手写文字的识别，效果不错，运行后就知道了!拿来大家共享!-This process development platform using matlab realize handwritten text recognition, good results, run after the know! Brought everyone to share! Platform: |
Size: 152576 |
Author:孟繁荣 |
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Description: MH编码是用于黑白二进制文件传真的数据压缩。文件传真是指一般文件、图纸、手写稿、表格、报纸等文件的传真。他们是黑白二值的，也就是信源是二元信源q=2。
MH编码是一位编码方案，即对一行一行的数据进行编码，它将游程编码和霍夫曼编码想结合，是一种标准的改进霍夫曼码。
-MH encoded binary files are used for black-and-white facsimile data compression. Document refers to the general fax documents, drawings, handwritten text, forms, newspapers and other documents faxed. They are black-and-white binary, that is, sources are binary source q = 2. MH coding is a coding scheme, namely, the data line by line coding, it will run-length encoding and Huffman encoding want to combine the improvement is a standard Huffman code. Platform: |
Size: 974848 |
Author:张继红 |
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Description: 手写数字识别源代码！如今许多软件都提供了文字识别功能高。例如在一些手机的应用软件中，用户都能够通过手写文字实现短信发送等功能！-Handwritten numeral recognition source code! Today, many software provides a high character recognition function. For example, in some applications, mobile phones, users will be able to achieve through hand-written text messages to send and other functions! Platform: |
Size: 41984 |
Author:aility |
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Description: This paper presents a text line segmentation method
for printed or handwritten historical Arabic
documents. Documents are first classified into 2
classes using a K-means scheme. These classes
correspond to document complexity (easy or not easy
to segment). Then, a document which includes
overlapping and touching characters, is divided into
vertical strips. Platform: |
Size: 317440 |
Author:ammar |
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Description: ocr app where usually abbreviated to OCR, is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used to convert books and documents into electronic files, to computerize a record-keeping system in an office, or to publish the text on a website. OCR makes it possible to edit the text, search for a word or phrase, store it more compactly, display or print a copy free of scanning artifacts, and apply techniques such as machine translation, text-to-speech and text mining to it. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. Platform: |
Size: 18527232 |
Author:Alex |
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Description: 牛人使用C语言编写的电子万年历程序界面，通过手写字模的方法在文本界面下完成界面编写，可供C初学者参考。-Cattle were written using the C program interface electronic calendar, handwritten font by the method to complete the interface in the text interface is written for C beginners reference. Platform: |
Size: 2048 |
Author:王甲 |
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Description: 自己制作基于“欧氏距离的算法”来识别文字的相似性，从而来识别手写文字的程序，开发环境是matlab.需要讲手写的字加到字库才可以哦。-Produce their own based on the " Euclidean distance algorithm" to identify the similarity of the text, handwritten text in order to identify the procedures, the development environment is matlab. Need to speak the word handwritten character can only be added to Oh. Platform: |
Size: 35840 |
Author:mr hai |
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Description: The task of recognizing textual information in the translation of printed and handwritten text into machine code is one of the most important components of projects that aim to automate workflow. However, this problem is one of the most complex and high in the field of automatic image analysis. Platform: |
Size: 201728 |
Author:vadim |
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Description: Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic conversion of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used as a form of data entry from some sort of original paper data source, whether documents, sales receipts, mail, or any number of printed records. It is crucial to the computerization of printed texts so that they can be electronically searched, stored more compactly, displayed on-line, and used in machine processes such as machine translation, text-to-speech and text mining Platform: |
Size: 833536 |
Author:tarik zahouane |
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Description: C#做的简单手写面板，仅实现手写，没有字库所以没能实现文字识别。请高手指导文字识别-C# to do a simple handwritten panel, only to achieve the handwriting, the font did not realize the character recognition. Expert guidance text recognition Platform: |
Size: 65536 |
Author:邓炜 |
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Description: Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines. Platform: |
Size: 32768 |
Author:jayaprada |
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Description: Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines. Platform: |
Size: 209920 |
Author:jayaprada |
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Description: Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines. Platform: |
Size: 39936 |
Author:jayaprada |
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Description: Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines. Platform: |
Size: 78848 |
Author:jayaprada |
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Description: Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines. Platform: |
Size: 15360 |
Author:jayaprada |
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Description: Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines. Platform: |
Size: 44032 |
Author:jayaprada |
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Description: Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines. Platform: |
Size: 100352 |
Author:jayaprada |
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Description: Text-line extraction in unconstrained handwritten documents remains a challenging problem due to nonuniform character scale, spatially varying text orientation, and the interference between text lines. Platform: |
Size: 63488 |
Author:jayaprada |
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Description: Character recognition, usually abbreviated to optical characte r recognition or shortened OCR, is the
mechanical or electronic translation of images of handwritten, typewritten or printed text (usually
captured by a scanner) into machine - editable text. It is a field of research in pattern recognition,
artificial intelligence and machine vision. Though academic research in the field continues, the
focus on character recognition has shifted to implementation of proven techniques.
For many document - input tasks, character recognition is the most cost - effective and speedy method
available. And each year, the technology frees acres of storage space once given over to file cabinets
and boxes full of paper documents. -Character recognition, usually abbreviated to optical characte r recognition or shortened OCR, is the
mechanical or electronic translation of images of handwritten, typewritten or printed text (usually
captured by a scanner) into machine - editable text. It is a field of research in pattern recognition,
artificial intelligence and machine vision. Though academic research in the field continues, the
focus on character recognition has shifted to implementation of proven techniques.
For many document - input tasks, character recognition is the most cost - effective and speedy method
available. And each year, the technology frees acres of storage space once given over to file cabinets
and boxes full of paper documents. Platform: |
Size: 875520 |
Author:ekhorasan |
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Search - text to handwritten