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Centre for Pattern Recognition

RR Campus cfpr@pes.edu
8
Publications
Overview
About the research centre
Research Areas
Fields of research and focus
Team
Researchers and team members
Publications
Research publications and papers
Resources
Tools and technologies used

About Centre 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.

Active & Completed Projects

4
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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Our Researchers

8
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
View All 8 Researchers

Research Publications

8
2013

Authors: B. J. Sandesh, G. Srinivasa,

2013

Authors: S. Madireddi, B. Kumar, G. Srinivasa,

2013

Authors: S. Bairavi, M. Hegde, G. Srinivasa,

2013

Authors: G. P. Ravi, B. J. Sandesh, G. Srinivasa,

View All 8 Publications

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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