Paper Title
Scene Text Recognition Via Part Based Tree Structured Model
Abstract
Abstract- Scene text recognition has encouraged great interests from the computer vision area in recent years. A novel scene
text recognition method which converts the word into speech is proposed. A part based tree structure is used to model
characters so as to detect and recognize characters. The character models make use of both the local appearance and global
structure information. And thus the detection results are more reliable. And these detected words are converted into speech
using Microsoft SAPI.
Keyword- Ocr, Speech Synthesizer, Sapi, Text Recognition.