A Novel Approach for Online Handwriting Recognition of Tibetan Characters
نویسنده
چکیده
Abstract—A new method is proposed for online handwriting recognition of Tibetan characters. At first, input pattern is preprocessing. Then, extracting direction feature matrix and edge feature matrix of Tibetan character respectively, they are together formed original feature matrix. It is compressed into final feature matrix with IMLDA (image matrix liner discriminate analysis) technique. Finally, the pattern of character is recognized by the SMQDF (second modified quadratic discriminate function) classifier based on prior training. The effectiveness of the proposed method was visualized by the experiments. The overall recognition rate is 93.72 percent, which confirms the effectiveness of the proposed methods.
منابع مشابه
A Novel Approach to Persian Online Hand Writing Recognition
Persian (Farsi) script is totally cursive and each character is written in several different forms depending on its former and later characters in the word. These complexities make automatic handwriting recognition of Persian a very hard problem and there are few contributions trying to work it out. This paper presents a novel practical approach to online recognition of Persian handwriting whic...
متن کاملOff-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 Recognition of Handwritten Korean and English Characters
In this study, an improved HMM based recognition model is proposed for online English and Korean handwritten characters. The pattern elements of the handwriting model are sub character strokes and ligatures. To deal with the problem of handwriting style variations, a modified Hierarchical Clustering approach is introduced to partition different writing styles into several classes. For each of t...
متن کاملIsolated Persian/Arabic handwriting characters: Derivative projection profile features, implemented on GPUs
For many years, researchers have studied high accuracy methods for recognizing the handwriting and achieved many significant improvements. However, an issue that has rarely been studied is the speed of these methods. Considering the computer hardware limitations, it is necessary for these methods to run in high speed. One of the methods to increase the processing speed is to use the computer pa...
متن کاملDevnagari Handwriting Recognition using STANN
Several approaches to recognize the handwritten characters and numerals such as online cursive handwriting and numerals recognition have been proposed. Most of them are based on neural network approaches. In this paper, a technique for continuous recognition of handwritten Devanagari characters is proposed. This approach employs a method based on Spatio-Temporal Artificial Neural Network (STANN...
متن کامل