handwritten apple serial number finally analysis

Thus ideally Chinese handwriting recognition algorithms need to scale up to at least the level of GB18030-2005. Most people need at least a handful of characters deemed “infrequently written,” as they occur in, e.g., proper names relevant to them. At the individual user level, however, what is “commonly used” typically varies from one person to the next. These sets tend to reflect commonly used characters across the entire population of Chinese writers. The SCUT-COUCH database has similar coverage. The closely aligned character set used in the popular CASIA databases, built by the Institute of Automation of Chinese Academy of Sciences, comprises a total of 7,356 entries. Thus, the standard GB2312-80 set includes only 6,763 entries (3,755 and 3,008 characters in the level-1 and level-2 sets, respectively). Unlike alphabet-based writing, which typically involves on the order of 100 symbols, the set of Hànzì characters in Chinese National Standard GB18030-2005 contains 27,533 entries, and many additional logographic characters are in use throughout Greater China.įor computational tractability, it is usual to focus on a restricted number of characters, deemed most representative of usage in daily life. Chinese handwriting recognition is uniquely challenging, due to the large size of the underlying character inventory. Handwriting recognition can enhance user experience on mobile devices, particularly for Chinese input given the relative complexity of keyboard methods. Our experiments show that accuracy only degrades slowly as the inventory increases, as long as we use training data of sufficient quality and in sufficient quantity. We found that, with proper care, even larger inventories are within reach. To achieve acceptable accuracy, we paid particular attention to data collection conditions, representativeness of writing styles, and training regimen. Our recognition system, based on deep learning, accurately handles a set of up to 30,000 characters. This article describes how we met those challenges to achieve real-time performance on iPhone, iPad, and Apple Watch (in Scribble mode).

The large symbol inventory required to support Chinese handwriting recognition on such mobile devices poses unique challenges. Handwriting recognition is more important than ever given the prevalence of mobile phones, tablets, and wearable gear like smartwatches.

Handwritten apple serial number finally analysis