Center for Pattern Recognition

RR Campus cfpr@pes.edu

Research Output

0

Patents

Research Output

8

Publications

Research Funding & Royalty

₹0.0Cr/₹0.0Cr

External / PESU Funding

Overview

About Center for Pattern Recognition

The PES Center for Pattern Recognition is involved in research projects in the ubiquitous areas of signal processing and pattern recognition. It focuses on designing mathematical and engineering tools to solve computational problems in biomedicine, biometric recognition, optical character recognition and text analytics, video processing and various applications of data mining. Thus, researchers at the Center for Pattern Recognition work at the interface of multiple disciplines including biomedicine, healthcare, mathematics and multidimensional signal processing. Assist-devices for various applications such as healthcare and education are prime-movers behind most of the work taken up at the Center. The Center is committed to the dissemination of knowledge in the core areas of pattern recognition and signal processing and related domains.

Projects

Active & Completed Projects

Automated diagnosis of the retinopathy of prematurity in collaboration with Dr. Anand Vinekar and his team at Narayana Nethralaya Ongoing

Analysis of retinal camera images of the eye and designing features that distinguish the image of a healthy subject from that of a subject with a retinal pathology.

Automated (re-)scheduling of surgeries in a multispecialty hospital in collaboration with Mr. Sunil Kumar C. N. and his team at Narayana Hrudayala Ongoing

Students are working on algorithms that will automate and ensure optimal utilization of resources (such as operation theatre time and surgeons) in the event of an unexpected delay or cancellation of surgery at a certain time on a certain day.

Efficient annotation and retrieval of video clips Ongoing

Development of a suite of algorithms to analyze the content of video (including embedded text) to improve the quality of annotation, characterization of behavior (such as anomalous crowd activity), automated retrieval and summary generation.

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Research Team

Our Researchers

P
faculty
Prof. Sandesh B. J.
Multimodal (video and text) mining
P
faculty
Prof. Renuka Devi M. N.
Characterization of Behavior from recorded video
P
faculty
Prof. Sabeeha Sultana
Bioimage processing and analysis
M
faculty
Ms. Vidya H. T.
Annotation of images based on localization and recognition of text
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Publications

Research Publications

View All 8 Publications
Resources

Tools & Technologies

Software Tools
MATLAB

is used for a range of applications, including video, image and audio signal processing, modeling of data, etc.

Python (together with NLTK)

is used principally for natural language processing and subsequent information retrieval/ data mining.

R is used for statistical analysis of data (or generating synthetic data).

R is used for statistical analysis of data (or generating synthetic data).

Free and open source toolboxes for classifiers

Free and open source toolboxes for classifiers such as support vector machines, artificial neural networks, etc. are used on a need-based basis.

Technologies
Pattern recognition Image and video processing and analysis Natural language processing Data Mining
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