With the rise and development of deep learning, computer vision has been tremendously
transformed and reshaped. As an important research area in computer vision, scene text …

The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …

This paper analyzes, compares, and contrasts technical challenges, methods, and the
performance of text detection and recognition research in color imagery. It summarizes the …

A general method for text localization and recognition in real-world images is presented. The
proposed method is novel, as it (i) departs from a strict feed-forward pipeline and replaces it …

Text detection and localization in natural scene images is important for content-based image
analysis. This problem is challenging due to the complex background, the non-uniform …

Text information in natural scene images serves as important clues for many image-based
applications such as scene understanding, content-based image retrieval, assistive …

A novel object descriptor, histogram of Gabor phase pattern (HGPP), is proposed for robust
face recognition. In HGPP, the quadrant-bit codes are first extracted from faces based on the …

In this paper, we propose a method based on the Laplacian in the frequency domain for
video text detection. Unlike many other approaches which assume that text is horizontally …

This paper proposes an automatic road-sign recognition method based on image
segmentation and joint transform correlation (JTC) with the integration of shape analysis …

Recent advances in OCR have shown that an end-to-end (E2E) training pipeline that
includes both detection and recognition leads to the best results. However, many existing …