Online Handwriting Recognition Technology and Its Applications
نویسندگان
چکیده
This paper describes Fujitsu’s online handwritten character recognition (OLCR) technology and some application software that adopts this technology. Fujitsu’s Japanese OLCR has the highest level of performance among Japanese OLCRs and is based on two of our unique character recognition technologies: hybrid character recognition and bigram-based context processing. To realize more effective and practical handwriting interfaces, we have developed additional OLCR techniques such as hybrid adaptation, predictive handwriting recognition, and box-free handwritten string recognition. Several software products, including Japanist 2003 and Japanist for Pocket PC, have adopted this technology. This technology is also used by the standard handwriting recognition engine in FMV-STYLISTIC, which is one of Fujitsu’s Tablet PCs. In one experiment, our OLCR technology achieved a 94.6% recognition accuracy for Japanese text compared to other software available on the market, which achieved an accuracy of only 82 to 88%.
منابع مشابه
Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model
In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...
متن کاملOnline Chinese Handwritten Character . . .
Online Chinese handwriting recognition has attracted much research attention recently due to its complexity, wide-spread applications and emerging market demands. This material serves as a guide for pattern recognition researchers who have limited or no background in this language. We provide a brief review of the nature of the problem and challenges of online Chinese handwritten character reco...
متن کاملA Tool to Develop Arabic Handwriting Recognition System Using Genetic Approach
Problem statement: Significant movement has been made in handwriting recognition technology over the last few years. Up until now, Arabic handwriting recognition systems have been limited to small and medium vocabulary applications, since most of them often rely on a database during the recognition process. The facility of dealing with large database, however, opens up many more applications. A...
متن کاملRecognition of Sequence of Print and Ink Strokes: Investigation the Effect of Handwriting Pressure, Hue of Ink, Printer and Paper Type
By introducing of digital techniques, forensic document examiners has been encouraged to work with better accuracy in non-destructive ways. The aim of this study was to present a non-destructive, accessible, economic (affordable), user friendly, portable, useful and easy technique for specifying the order of crossing lines of ink stroke and printed text. The intersections of LaserJet and In...
متن کاملRecent Results of Online Japanese Handwriting Recognition and Its Applications
This paper discusses online handwriting recognition of Japanese characters, a mixture of ideographic characters (Kanji) of Chinese origin, and the phonetic characters made from them. Most Kanji character patterns are composed of multiple subpatterns, called radicals, which are shared among many (sometimes hundreds of) Kanji character patterns. This is common in Oriental languages of Chinese ori...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004