scholarly journals A Novel Camera Based Approach for Automatic Expiry Date Detection and Recognition on Food Packages

2018 ◽  
pp. 133-142 ◽  
Author(s):  
Liyun Gong ◽  
Miao Yu ◽  
Wenting Duan ◽  
Xujiong Ye ◽  
Kjartan Gudmundsson ◽  
...  
Keyword(s):  
Expiry Date ◽  
Food Packages ◽  
Detection And Recognition

Detection and recognition.

1978 ◽  
Vol 85 (3) ◽  
pp. 192-206 ◽  
Author(s):  
David M. Green ◽  
Theodore G. Birdsall
Keyword(s):  
Detection And Recognition

ANALISIS KOHESI DAN KOHERENSI WACANA DALAM BERITA ONLINE BERBAGI PAKET SEMBAKO UNTUK KAUM DHUAFA DI JAWA POS RADAR BOJONEGORO EDISI 11 MEI 2019

2019 ◽  
Vol 1 (01) ◽  
pp. 58-67
Author(s):  
Suci Armala
Keyword(s):  
Discourse Analysis ◽  
Data Collection ◽  
Reasons For Action ◽  
Lexical Cohesion ◽  
Analysis Techniques ◽  
Discourse Coherence ◽  
The Poor ◽  
Food Packages ◽  
Qualitative Descriptive ◽  
Descriptive Approach

Cohesion and coherence in discourse play a role in forming a wholeness in the discourse itself, both discourse and writing. One of the written discourses is the news in the Jawa Pos newspaper, which is the distribution of basic food packages breaking the fast of Ramadhan for the poor in the Tuban area held by PT. PJB UBJOM PLTU Tanjung Awar-awar, in this news is thought to contain elements of cohesion and coherence. This study uses a qualitative descriptive approach and discourse analysis techniques. The data obtained contains cohesion and coherence. In this data collection, namely by listening to the news and recording it. The results of this study include grammatical cohesion, lexical cohesion and its coherence. Grammatical cohesion includes reference cohesion, recovery cohesion, release cohesion and liaison cohesion. In addition to cohesion there is also coherence that is like the coherence of the means of purpose, the coherence of reasons for action, the coherence of the meaning of reason and so forth. With the discovery of the use of cohesion and discourse coherence in Jawa Pos news.

Processing of remote sensing data for detection and recognition of object classes

2004 ◽  
Vol 10 (5-6) ◽  
pp. 175-177
Author(s):  
S.L. Kravtsov ◽  
◽  
L.V. Oreshkina ◽  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Object Classes ◽  
Detection And Recognition

PECULIARITIES OF SMALL UNMANNED AERIAL VEHICLES DETECTION AND RECOGNITION

2019 ◽  
Vol 78 (9) ◽  
pp. 771-781 ◽  
Author(s):  
V. M. Kartashov ◽  
V. N. Oleynikov ◽  
S. A. Sheyko ◽  
S. I. Babkin ◽  
I. V. Korytsev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
Detection And Recognition

CNN-based Rain Reduction in Street View Images

2020 ◽  
Vol 2020 (1) ◽  
pp. 78-81
Author(s):  
Simone Zini ◽  
Simone Bianco ◽  
Raimondo Schettini
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
State Of The Art ◽  
Weather Conditions ◽  
Specific Interest ◽  
Optical Character ◽  
Street View ◽  
In The Wild ◽  
Bad Weather ◽  
Detection And Recognition

Rain removal from pictures taken under bad weather conditions is a challenging task that aims to improve the overall quality and visibility of a scene. The enhanced images usually constitute the input for subsequent Computer Vision tasks such as detection and classification. In this paper, we present a Convolutional Neural Network, based on the Pix2Pix model, for rain streaks removal from images, with specific interest in evaluating the results of the processing operation with respect to the Optical Character Recognition (OCR) task. In particular, we present a way to generate a rainy version of the Street View Text Dataset (R-SVTD) for "text detection and recognition" evaluation in bad weather conditions. Experimental results on this dataset show that our model is able to outperform the state of the art in terms of two commonly used image quality metrics, and that it is capable to improve the performances of an OCR model to detect and recognise text in the wild.

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