Nowadays, text detection and localization have gained much popularity in the field of text
analysis systems as they pave the way for the number of real-time based applications like …

Deep clustering aims to promote clustering tasks by combining deep learning and clustering
together to learn the clustering-oriented representation, and many approaches have shown …

Handwritten Chinese text recognition (HCTR) has been an active research topic for
decades. However, most previous studies solely focus on the recognition of cropped text line …

In object detection, non-maximum suppression (NMS) methods are extensively adopted to
remove horizontal duplicates of detected dense boxes for generating final object instances …

Recently scene text detection has become a hot research topic. Arbitrary-shaped text
detection is more challenging due to the irregular geometry of the texts such as long curved …

The two-stage scene text detection algorithms based on Mask R-CNN have achieved good
performances on multiple challenging benchmarks. However, their effectiveness is …

Recently, segmentation-based methods are quite popular in scene text detection, which
mainly contain two steps: text kernel segmentation and expansion. However, the …

The branch of artificial intelligence called “deep learning” enables the computer to take on
and learn new rules. Deep learning algorithms are capable of recognizing objects, photos …

The appearance of the text in images is of vital importance due to its capacity to
communicate, effective accessibility of the information of visual content enhances …

Optical Character Recognition (OCR) is a common method to convert typed, hand-written or
printed text from documents and scene photos into digital format, which can be edited …