  Text Detection and recognition is a one of the important aspect of image
processing. This paper analyzes and compares the methods to handle this task.
It summarizes the fundamental problems and enumerates factors that need
consideration when addressing these problems. Existing techniques are
categorized as either stepwise or integrated and sub-problems are highlighted
including digit localization, verification, segmentation and recognition.
Special issues associated with the enhancement of degraded text and the
processing of video text and multi-oriented text are also addressed. The
categories and sub-categories of text are illustrated, benchmark datasets are
enumerated, and the performance of the most representative approaches is
compared. This review also provides a fundamental comparison and analysis of
the remaining problems in the field.
