Word Spotting
A New Word Spotting Framework Using Hough Transform of Distance Matrix Images
... new word spotting framework using Hough transform of distance matrix images is ...pattern word is included in the input utterance, the straight line area is observed in the distance matrix ...pattern ...
6
Word Spotting and Character Recognition using Quadrant Density and Aspect Ratio
... a word search (word spotting) in a scanned document is difficult, since the entire document is saved as an ...the word spotting is ...certain word, spatial adjacency algorithm is ...
5
Word Spotting in Handwritten Document Images based on Multiple Features
... the word or ...segmentation-free word spotting based on convolution neural ...of word instances which are then sent through a convolution neural network to predict PHOC embedding for all ...
11
Connected Component Based Word Spotting on Persian Handwritten image documents
... the word spotting technique is applied to the segmented ...line-based word spotting system ...for word spotting at the line level ...predominant word spotting ...
11
A Survey on Various Word Spotting Techniques for Content Based Document Image Retrieval
... for word spotting in explored in [18] for historical manuscripts which are later on matched using the dynamic time warping algorithm as the measure for ...profile, word profiles, background to ink ...
5
Script Independent Word Spotting in Multilingual Documents
... independent word spotting in multilingual handwritten and machine printed ...of word images from document image corpus based on similarity with the query ...all word images present in the ...
7
Word Spotting In Scanned Images Of Printed Devanagri Documents
... the word spotting technology to index word images and to retrieve them by image-to-image ...Then, word images can be obtained by connected components analysis on each binary ...each ...
5
An Advanced Approach for Text Query Searching and Word Spotting In Word Images
... to word spotting can be split into two categories, ...search word in the training set are compared with all word images in the test ...
8
Agora Scenario database
... query word against a collection of segmented words, we use common ratio of precision (P) and recall (R) for evaluation of word ...retrieved word is consid- ered as relevant or not depending on the ...
5
Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback
... keyword spotting without the use of ...of word form variants in a ...performed word spotting by selecting gradient angle feature and a matching ...annotated word images using a set of ...
8
Vol 7, No 6 (2017)
... based word spotting method for handwritten document images using Co-occurrence Histograms of Oriented Gradients (Co-HOG) ...for word spotting, we divide a word image into blocks and ...
6
S-pot - a benchmark in spotting signs within continuous signing
... The learning task in the benchmark is to replicate the prin- cipal ground truth annotations with an automatic learning system. Specifically, the input to the system is a set of ex- ample sentence videos, each associated ...
6
Spotting Skin Disorder using Template Matching
... This work entitled “Spotting skin disorder using template matching” is useful to identify the diseases based on patient symptoms, test results & Images. The project is very useful to the poor patients who ...
5
Performance Improvement in Keyword Spotting for Telephony Services
... Support Vector Machines represent a new approach to pattern classification developed from the theory of structural risk minimization [17]. It is a machine learning technique proposed by Vapnik (1995) to solve two class ...
5
Spotting false translation segments in translation memories
... The problem of spotting false translations in the bi-segments of translation memories can be thought of as a classification task. We test the accuracy of various machine learning algorithms to find segments that ...
8
Building Semantic Perceptron Net for Topic Spotting
... a word occurrence based cluster abstraction model that learns a hierarchical topic ...each word feature as independent, and seldom consider linguistic factors such as the context or lexical chain relations ...
8
Elliptic Constructions: Spotting Patterns in UD Treebanks
... Elliptic constructions (ellipsis) are linguistic phe- nomena which refer to the omission of a word or several words from a sentence. The meaning of the omitted words, however, can be understood in the context of ...
10
Honkling: In Browser Personalization for Ubiquitous Keyword Spotting
... keyword spotting (KWS) is to detect the presence of specific phrases in a stream of au- dio, often with the end goal of wake-word detec- tion or simple command recognition on the ...
6
Topic Spotting using Hierarchical Networks with Self Attention
... Success of deep learning techniques have re- newed the interest in development of dialogue systems. However, current systems struggle to have consistent long term conversations with the users and fail to build rapport. ...
7
Factors affecting financial inclusion in transitional country: A case of Vietnam
... by spotting determinants and barriers driving the access to formal financial system in terms of having an account in a bank or a formal financial institution using individual- level dataset in ...
8