Reading text in consumer digital photographs

Vincent Vanhoucke; S. Burak Gokturk

doi:10.1117/12.702566

29 January 2007 Reading text in consumer digital photographs

Vincent Vanhoucke, S. Burak Gokturk

Proceedings Volume 6500, Document Recognition and Retrieval XIV; 650007 (2007) https://doi.org/10.1117/12.702566
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

We present a distributed system to extract text contained in natural scenes within consumer photographs. The objective is to automatically annotate pictures in order to make consumer photo sets searchable based on the image content. The system is designed to process a large volume of photos, by quickly isolating candidate text regions, and successively cascading them through a series of text recognition engines which jointly make a decision on whether or not the region contains text that is readable by OCR. In addition, a dedicated rejection engine is built on top of each text recognizer to adapt its confidence measure to the specifics of the task. The resulting system achieves very high text retrieval rate and data throughput with very small false detection rates.

Citation Download Citation

Vincent Vanhoucke and S. Burak Gokturk "Reading text in consumer digital photographs", Proc. SPIE 6500, Document Recognition and Retrieval XIV, 650007 (29 January 2007); https://doi.org/10.1117/12.702566

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