Title :
Online Recognition System for Handwritten Hindi Digits Based on Matching Alignment Algorithm
Author :
Ali Abuzaraida, Mustafa ; Zeki, Akram M. ; Zeki, Ahmed M.
Author_Institution :
Comput. Scince Dept., Misurata Univ., Misurata, Libya
Abstract :
Recently, online character recognition approaches are gotten attention everywhere due to the raped growing of touch screen devices industry. Furthermore, keyboards and mice devises become inapplicable to be included in small devises. These reasons would open the gate for discovering new techniques which can enrich and enhance this kind of approaches. These online approaches can be used for recognizing different texts like letters, digits, or symbols. In this paper, an online system for recognizing handwritten Hindi digits is highlighted based on matching alignment algorithm. It illustrates every phase of the system in details which are: digits acquisition, preprocessing, features extraction, and recognition phase. The dataset of the system were collected by 50 writers using a touch screen laptop with 50 sample of each digit. The results of testing the proposed system showed a high accuracy rate with an average of 96%.
Keywords :
feature extraction; handwritten character recognition; image matching; natural language processing; text detection; touch sensitive screens; digit acquisition; digit preprocessing; feature extraction; handwritten Hindi digit recognition; keyboards; matching alignment algorithm; mice devices; online character recognition approach; recognition phase; text recognition; touch screen device industry; touch screen laptop; Algorithm design and analysis; Classification algorithms; Feature extraction; Handwriting recognition; Heuristic algorithms; Text recognition; Writing; Handwritten; Hnidi Digits; Online System; Text Recognition;
Conference_Titel :
Advanced Computer Science Applications and Technologies (ACSAT), 2014 3rd International Conference on
DOI :
10.1109/ACSAT.2014.36
