Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICPR.2006.351
Title: Camera text recognition based on perspective invariants
Authors: Lu, S. 
Tan, C.L. 
Issue Date: 2006
Source: Lu, S.,Tan, C.L. (2006). Camera text recognition based on perspective invariants. Proceedings - International Conference on Pattern Recognition 2 : 1042-1045. ScholarBank@NUS Repository. https://doi.org/10.1109/ICPR.2006.351
Abstract: As camera resolution increases, high-speed non-contact text capture through a digital camera is opening up a new channel for document capture and understanding. Unfortunately, perspective and geometric distortions in camera image of documents make it hard to recognize the document content properly. In this paper, we propose a character recognition technique, which is capable of recognizing camera text lying over a planar or smoothly curved surface in perspective views. In our proposed method, a few perspective invariants including character ascender and descender, centroid intersection numbers, and water reservior are first detected. Camera texts are then recognized using a classification and regression tree (CART) structure. Experimental results show our method is fast and improves recognition performance greatly. © 2006 IEEE.
Source Title: Proceedings - International Conference on Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/41881
ISBN: 0769525210
ISSN: 10514651
DOI: 10.1109/ICPR.2006.351
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