An Enhanced LBPH Approach to Ambient-Light-Affected Face Recognition Data in Sensor Network

Round 1

Reviewer 1 Report

The following revisions are required.
1. In literature review, add 3 to five more relevant and latest techniques.
2. Add Comparison table at the end of section 2 and compare with at least 10 to 15 techniques with appropriate parameters like “An Adaptive Enhanced Technique for Locked Target Detection and Data Transmission over Internet of Healthcare Things”.

3. Please make sure your paper has necessary language proof-reading.

Author Response

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Author Response File: Author Response.docx

Reviewer 2 Report

In this paper, image recognition takes face recognition as an example to analyze the differences between Local Binary Patterns Histograms (LBPH) and OpenFace deep learning neural network algorithms and compares the accurate and error rates of face recognition in different environmental lighting. 

The study is interesting and the selected papers are good. 

However, the paper needs to acquire more quality in terms of cited papers. 

For this purpose I suggest to include the following paper among the cited papers because, in my opinion, it is crucial introducing some of dependability problems of sensor networks :

"Heuristic strategies for assessing wireless sensor network resiliency: an event-based formal approach". Journal of Heuristics 21 (2), 145-175

 

I am confident if the authors add the citation and they motivate the importance to consider it, the paper will acquire more quality for the publication. 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

The authors should revise the Conclusion section and future scope of work. Also, there must be a separate Discussion section to illustrate the importance of work.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

The authors have included more interesting papers among the cited work. 

I am confident the paper has reached a good level of quality now in order to be published.