Off-Line Handwritten Chinese Character Stroke Extraction
نویسندگان
چکیده
Stroke extraction is of great significance for an offline character recognition system. In this paper, we present an efficient stroke extraction method based on a combination of a simple feature point detection scheme and a novel stroke segment connecting method. The algorithm can fast and accurately extract the strokes from the thinned Chinese character images. Experimental results on a large data set with over eighteen thousand character strokes achieve over 99% accuracy.
منابع مشابه
Geometrical-Statistical Modeling of Character Structures for Natural Stroke Extraction and Matching
This paper proposes a model-based approach to extract natural strokes in handwritten Chinese character images. We model the distortion between an input stroke and its counterpart in the character model as the result of an affine transformation followed an uncertainty distribution. Based on this modeling, a statistical method is presented to measure similarities between strokes or characters, an...
متن کاملA Model of Stroke Extraction from Chinese Character Images
Given the large number and complexity of Chinese characters, pattern matching based on structural decomposition and analysis is believed to be necessary and essential to off-line character recognition. This paper proposes a new model of stroke extraction for Chinese characters. One problem for stroke extraction is how to extract primary strokes. Another major problem is to solve the segmentatio...
متن کاملDynamic Stroke Information Analysis for Video-Based Handwritten Chinese Character Recognition
Video-based handwritten Character Recognition (VCR) system is a new type of character recognition system with many unique advantages over on-line character recognition system. Its main problem is to effectively extract stroke dynamic information from video data for character recognition. In this paper, we propose a new stroke extraction algorithm through dynamic stroke information analysis for ...
متن کاملAn Improved Pre-classification Method for Off- line Handwritten Chinese Character Using Four Corner Feature
Pre-classification can effectively improve the performance of handwritten Chinese character recognition. This paper presents a method that uses four corner feature for pre-classification of handwritten Chinese characters. Considering writing variations, we define a set of basic stroke structures and match them with the structures in four corner regions of character image. The matching result wi...
متن کاملModel-based stroke extraction and matching for handwritten Chinese character recognition
This paper proposes a model-based structural matching method for handwritten Chinese character recognition (HCCR). This method is able to obtain reliable stroke correspondence and enable structural interpretation. In the model base, the reference character of each category is described in an attributed relational graph (ARG). The input character is described with feature points and line segment...
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 2002