Improved Chinese Complexly Arranged Scene Text Detection

Abstract

At present, the existing text detection algorithms in natural scenes have made great progress, but most of them are for text line detection. On the one hand, they have limitation on the effective detection of complexly arranged (such as vertical arrangement, circular arrangement) text lines. On the other hand, the length of text lines varies greatly, which makes text detection very challenging. In this paper, an optimized SSD detection algorithm is proposed for single Chinese text detection. Convolution enhanced module is used to improve the detection of small target text. The introduction of deformable convolution improves the detection of deformable text. A text region connectivity algorithm is proposed to connect complexly arranged single text into readable text lines. In the natural scene Chinese text datasets on CTW and RCTW 17 datasets, mAP of 73.1% and F1 scores of 61.3% were achieved respectively.