Candidate Path Search Framework for Chinese Text Recognition
نویسنده
چکیده
منابع مشابه
Recognition-based handwritten Chinese character segmentation using a probabilistic Viterbi algorithm
This paper presents a recognition-based character segmentation method for handwritten Chinese characters. Possible non-linear segmentation paths are initially located using a probabilistic Viterbi algorithm. Candidate segmentation paths are determined by verifying overlapping paths, between-character gaps, and adjacent-path distances. A segmentation graph is then constructed using candidate pat...
متن کاملDetection and Recognition of Multi-language Traffic Sign Context by Intelligent Driver Assistance Systems
Design of a new intelligent driver assistance system based on traffic sign detection with Persian context is concerned in this paper. The primary aim of this system is to increase the precision of drivers in choosing their path with regard to traffic signs. To achieve this goal, a new framework that implements fuzzy logic was used to detect traffic signs in videos captured along a highway f...
متن کاملAn approach for real-time recognition of online Chinese handwritten sentences
With the advances of handwriting capturing devices and computing power of mobile computers, penbased Chinese text input is moving from character-based input to sentence-based input. This paper proposes a real-time recognition approach for sentence-based input of Chinese handwriting. The main feature of the approach is a dynamically maintained segmentation–recognition candidate lattice that inte...
متن کاملTrie-Lexicon-Driven On-line Handwritten Japanese Disease Name Recognition
This paper describes a lexicon-driven approach to on-line handwritten Japanese disease name recognition using a time-synchronous method. A trie lexicon is constructed from a disease name database containing 21,713 disease name phrases. It expands the search space using time-synchronous method and applies the beam search strategy to search segmentation candidate lattice constructed based on prim...
متن کاملProbabilistic Named Entity Verification
Named entity (NE) recognition is an important task for many natural language applications, such as Internet search engines, document indexing, information extraction and machine translation. Moreover, in oriental languages (such as Chinese, Japanese and Korean), NE recognition is even more important because it significantly affects the performance of word segmentation, the most fundamental task...
متن کامل