Optimizing Text Detection and Recognition in Video with an Improved Deep Residual Network

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Laxmikant Eshwarappa N.A.

Publication Details

Journal: International Journal of Cloud Computing
Published: 2026-05-17
DOI: https://doi.org/10.1504/ijcc.2027.10078469
Primary Topic: Handwritten Text Recognition Techniques
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Optimizing Text Detection and Recognition in Video with an Improved Deep Residual Network

Laxmikant Eshwarappa N.A.

May 17, 2026

International Journal of Cloud Computing

Handwritten Text Recognition Techniques

article

Optimizing Text Detection and Recognition in Video with an Improved Deep Residual Network

Laxmikant Eshwarappa N.A.

May 17, 2026article en

Abstract

International Journal of Cloud ComputingVol. 16(1)

Openalex Percentile: Top 5%

Handwritten Text Recognition Techniques

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimizing Text Detection and Recognition in Video with an Improved Deep Residual Network — Laxmikant Eshwarappa N.A. · International Journal of Cloud Computing (2026) | TGRS Research Map | TGRS