FARSIARABIC TEXT DETECTION AND LOCALIZATION IN VIDEO FRAMES

Video text detection plays an important role in applications such as semantic-based video analysis، text information retrieval، archiving and so on. In this paper، we propose a Farsi/Arabic text detection approach. First، with an appropriate edge detector، edges are extracted and then by using edges cross ponts، artificial corners are extracted. Artificial corner histogram analysis is done for rejecting some non text corners. The discrete cosine transform (DCT) coefficients of input picture are extracted and texture intensity picture is created by combining appropriate coefficients. With combining artificial corners image and texture intensity image، a features vector is extracted and fed into support vector machine (SVM) classifier for detecting text regions. Finally with drawing normalized texture intensity profiles، final verification is done and text lines are sepersted from each others