A Modular Handwritten Kanji Recognition Schema
نویسندگان
چکیده
Handwriting continues to play a significant role in daily life, warranting continued research in the field of intelligent character recognition. East asian scripts, such as Japanese, remain challenging to process efficiently with high accuracy due to their vast number of symbols. In this work, a modular design schema based on reviews of previous work and the characteristics of the Japanese kanji sinographs is presented, along with the description of an ongoing effort to implement and evaluate a handwriting recognition system that incorporates online feature extraction, category clustering, and artificial neural networks.
منابع مشابه
Recent 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 کاملA Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters
We propose a new way to construct a large-scale neural network for 3.000 handwritten Kanji characters recognition. This neural network consists of 3 parts: a collection of small-scale networks which are trained individually on a small number of Kanji characters; a network which integrates the output from the small-scale networks, and a process to facilitate the integration of these neworks. The...
متن کاملSurvey of Pattern Recognition Approaches in Japanese Character Recognition
Optical Character Recognition (OCR) in Japanese, both handwritten and printed, is difficult to perform, owing to several reasons. Firstly, the Japanese language is comprised of over 3000 characters which can be classified as syllabic characters, or Kana, and ideographic characters, called Kanji. Secondly, Japanese text does not have delimiters like spaces, separating different words. Thirdly, s...
متن کاملNeural Networks that Learn to Discriminate Similar Kanji Characters
A neural network is applied to the problem of recognizing Kanji characters. Using a b a c k propagation network learning algorithm. a threelayered. feed-forward network is trained to recognize similar handwritten Kanji characters. In addition. two new methods are utilized to make training effective. The recognition accuracy was higher than that of conventional methods. An analysis of connection...
متن کاملModeling of Pen-Coordinate Information in SCPR-based HMM for On-line Recognition of Handwritten Japanese Characters
This paper describes stochastic modeling of pencoordinate information in HMMs with structured character pattern representation (SCPR) for on-line recognition of handwritten Japanese characters. SCPR allows HMMs for Kanji character patterns to share common subpatterns. Although SCPR-based HMMs have been successfully applied to Kanji character recognition, the pen-coordinate feature has not been ...
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 2014