Convolutional Neural Networks for Off-Line Writer Identification Based on Simple Graphemes
نویسندگان
چکیده
منابع مشابه
Offline Writer Identification Using Convolutional Neural Network Activation Features
Convolutional neural networks (CNNs) have recently become the state-of-the-art tool for large-scale image classification. In this work we propose the use of activation features from CNNs as local descriptors for writer identification. A global descriptor is then formed by means of GMM supervector encoding, which is further improved by normalization with the KL-Kernel. We evaluate our method on ...
متن کاملWriter Identification and Retrieval Using a Convolutional Neural Network
In this paper a novel method for writer identification and retrieval is presented. Writer identification is the process of finding the author of a specific document by comparing it to documents in a database where writers are known, whereas retrieval is the task of finding similar handwritings or all documents of a specific writer. The method presented is using Convolutional Neural Networks (CN...
متن کاملVillage Building Identification Based on Ensemble Convolutional Neural Networks
In this study, we present the Ensemble Convolutional Neural Network (ECNN), an elaborate CNN frame formulated based on ensembling state-of-the-art CNN models, to identify village buildings from open high-resolution remote sensing (HRRS) images. First, to optimize and mine the capability of CNN for village mapping and to ensure compatibility with our classification targets, a few state-of-the-ar...
متن کاملVerification of Graphemes Using Neural Networks in an Hmm-based On-line Korean Handwriting Recognition System
This paper presents a neural network based verification method in an HMM-based on-line Korean handwriting recognition system. It penalizes unreasonable grapheme hypotheses and complements global and structural information to the HMM-based recognition system, which is intrinsically based on local information. In the proposed system, each grapheme has one neural network verifier as well as one HM...
متن کاملGait Recognition Based on Convolutional Neural Networks
In this work we investigate the problem of people recognition by their gait. For this task, we implement deep learning approach using the optical flow as the main source of motion information and combine neural feature extraction with the additional embedding of descriptors for representation improvement. In order to find the best heuristics, we compare several deep neural network architectures...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Sciences
سال: 2020
ISSN: 2076-3417
DOI: 10.3390/app10227999