Text detection and object recognition from scene images using CNN and YOLOv3 (Record no. 18635)
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| fixed length control field | a |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230110145055.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230110b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19634 |
| Author | Das, Kaushik |
| 245 ## - TITLE STATEMENT | |
| Title | Text detection and object recognition from scene images using CNN and YOLOv3 |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.24(5), Sep-Oct |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Gurugram |
| Name of publisher, distributor, etc. | IOSR - International Organization of Scientific Research |
| Year | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 38-47p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Object detection and text recognition, which is otherwise called Optical Character Recognition (OCR), is an emerges as an active area of research because of the quick development with many existing applications. With the fast improvement in the Deep Learning (DL),various powerful tools which can able to learn semantic, high- level, deeper features to tackle the problems in the traditional methods. However, these methods are generally deterministic and gives deterministic output. In this paper, a new DL based object detection and text detection methods was introduced with a novel hybrid activation function. The proposed detection model detects the text and object with high precision rate. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19635 |
| Co-Author | Baruah, Arun Kumar |
| 773 0# - HOST ITEM ENTRY | |
| Title | IOSR Journal of Computer Engineering (IOSR-JCE) |
| Place, publisher, and date of publication | Gurgaon International Organization of Scientific Research (IOSR) |
| International Standard Serial Number | 2278-8727 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://www.iosrjournals.org/iosr-jce/papers/Vol24-issue5/Ser-1/H2405013847.pdf |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 2023-01-10 | 2023-0082 | 2023-01-10 | 2023-01-10 | Articles Abstract Database |