Rejecting Character Recognition Errors Using CNN Based Confidence Estimation

Rejecting Character Recognition Errors Using CNN Based Confidence Estimation Abstract: Although Optical character recognition (OCR) technology has achieved huge progress in recent years, character misrecognition is inevitable. In order to realize high fidelity content of document digitalization, we propose a new Convolutional neural networks (CNN) based confidence estimation method. We detect the misrecognized characters through […]


Region Based Moving Shadow Detection using Watershed Algorithm

Region-Based Moving Shadow Detection using Watershed Algorithm Abstract: Moving shadow detection is an important task in computer vision, with applications several fields, such as surveillance, video conference, visual tracking and object recognition. In this paper, we present a Spatio-Temporal based Moving Shadow Detection (STMSD) method, The main idea is: according to the gradient change of […]