fingerprint-identification.blogspot.com fingerprint-identification.blogspot.com

fingerprint-identification.blogspot.com

Fingerprint Identification

Monday, March 19, 2007. My final report is available. Follow the link). I definitely enjoyed to work. On this project. I also learned a lot from the others. Wednesday, March 14, 2007. To the final presentation. It summarizes the overall approach of the project and the results I got. Wednesday, March 7, 2007. The overall idea is to compute for each point in the two sets, a feature vector, and then compare the features using a feature distance. The indexing of the points may not correspond:. M'2 So we need...

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Fingerprint Identification | fingerprint-identification.blogspot.com Reviews
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Monday, March 19, 2007. My final report is available. Follow the link). I definitely enjoyed to work. On this project. I also learned a lot from the others. Wednesday, March 14, 2007. To the final presentation. It summarizes the overall approach of the project and the results I got. Wednesday, March 7, 2007. The overall idea is to compute for each point in the two sets, a feature vector, and then compare the features using a feature distance. The indexing of the points may not correspond:. M'2 So we need...
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1 fingerprint identification
2 final report
3 here
4 hard
5 cse190a projects
6 thank you all
7 posted by
8 philippe parra
9 43 comments
10 final review
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Fingerprint Identification | fingerprint-identification.blogspot.com Reviews

https://fingerprint-identification.blogspot.com

Monday, March 19, 2007. My final report is available. Follow the link). I definitely enjoyed to work. On this project. I also learned a lot from the others. Wednesday, March 14, 2007. To the final presentation. It summarizes the overall approach of the project and the results I got. Wednesday, March 7, 2007. The overall idea is to compute for each point in the two sets, a feature vector, and then compare the features using a feature distance. The indexing of the points may not correspond:. M'2 So we need...

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fingerprint-identification.blogspot.com fingerprint-identification.blogspot.com
1

Fingerprint Identification: Minutiae points detection and matching

http://fingerprint-identification.blogspot.com/2007/02/minutiae-points-detection-and-matching.html

Saturday, February 24, 2007. Minutiae points detection and matching. I have been working on minutiae points detection using template matching. The goal was to find a filter that, when applied on the enhanced print, pops out the bifurcation and ridge endings. After having the minutiae point position and direction, I tryed Ransac on different prints even if I do not specify correspondences. The next picture shows that the two fingerprints are considered to match. Do the draft report. Gabor filters are cool.

2

Fingerprint Identification: Ridge Orientation

http://fingerprint-identification.blogspot.com/2007/02/ridge-orientation.html

Wednesday, February 7, 2007. Then, the first set in minutia detection is to estimate rigde field orientation. This allows to find the local orientation of the ridges. In the handbook of fingerprint recognition, several methods are presented. I programed the first one, which is directly inspired from CSE166. One thing to notice is that the orientation given by the formula atan(Iy/Ix), is not the direction of the ridge. We need to add Pi/2 to it. Some issues to test:. December 26, 2013 at 11:41:00 PM PST.

3

Fingerprint Identification: Gabor filters are cool

http://fingerprint-identification.blogspot.com/2007/02/gabor-filters-are-cool.html

Monday, February 12, 2007. Gabor filters are cool. A picture worth more than a thousand words, so I am going to explain briefly what I did, and then show the results. I tryed SVD on the covariance matrix of the gradient versus averaging the gradient, and SVD gives better results. It provides an estimation of the reliabilit. In order to get the orientation for each pixel in the image, orientation is bilinearly interplolated using the orientation computed on the small windows. Gabor filters are cool.

4

Fingerprint Identification: Final report

http://fingerprint-identification.blogspot.com/2007/03/final-report.html

Monday, March 19, 2007. My final report is available. Follow the link). I definitely enjoyed to work. On this project. I also learned a lot from the others. Can you please help me i'm trying to do the project you were doing but i have a lot of problems. Can you provide me with the resources you used or even a snapshot of the gabor filter source code. I need it for my final year project. I will be grateful for your help. June 25, 2008 at 6:14:00 AM PDT. December 19, 2008 at 11:17:00 PM PST. It takes all k...

5

Fingerprint Identification: January 2007

http://fingerprint-identification.blogspot.com/2007_01_01_archive.html

Monday, January 29, 2007. Here is a video showing how ransac works. After some iterations, the right transformation is found (does not show up well at the end of the video). Then, I generated an other print in two position. For each position, I made 5 groups of minutiae points (colored in red, blue, cyan, green and yellow), that are the corresponding points. The colors allow to load an image and run ransac on it. It does a good job by finding the transformation (not shown here). I will explain later the ...

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developerstation.org developerstation.org

DeveloperStation.ORG: March 2013

http://www.developerstation.org/2013_03_01_archive.html

Video Lectures and Talks. Saturday, March 9, 2013. Reading and Writing cv: Mat in OpenCV in C. In C api for OpenCV, you often come across writing and reading matrices as text files (analogous to saving .mat files in MATLAB/Octave). This is a simple way of doing it. You could even save multiple matrices in a single .xml/.yaml. However, I couldn't find ways to read more than 1 matrix which was written to file and being read using Python API. Posted by Rahul Kavi. Matrix types in using imshow and imwrite.

developerstation.org developerstation.org

DeveloperStation.ORG: simple Convolutional Neural Net based object recognition

http://www.developerstation.org/2016/03/simple-convolutional-neural-net-based.html

Video Lectures and Talks. Wednesday, March 9, 2016. Simple Convolutional Neural Net based object recognition. I made a simple object recognition module over the last weekend. I wrote a Theano. Based convolutional neural network. I wrote a simple OpenCV. Based image segmentation program. The output from the image segmentation program is passed to the Theano based Convolutional Neural Network. I used 10,000 images for training and 16,000 images for testing. Posted by Rahul Kavi. On the way to Virtual World.

developerstation.org developerstation.org

DeveloperStation.ORG: June 2013

http://www.developerstation.org/2013_06_01_archive.html

Video Lectures and Talks. Sunday, June 9, 2013. Logisitic Regression in OpenCV. I finished writing a Logistic Regression classifier in OpenCV. I've seen a lot of posts on the web asking for OpenCV's version of the same but its not available. Its easy to write your own logistic regression classifier. I separated out the cost function and gradient descent algorithm (Batch Gradient Descent). You can replace it with your own optimization algorithm. I posted it on my Github page. You can check it out:.

developerstation.org developerstation.org

DeveloperStation.ORG: March 2016

http://www.developerstation.org/2016_03_01_archive.html

Video Lectures and Talks. Sunday, March 13, 2016. Simple Autoencoder on MNIST dataset. So, I had fun with Theano and trained an Autoencoder on a MNIST dataset. More about Autoencoders is available here. More variants of Autoencoders exist (Sparse, Contractive, etc.) are available with different constraints on the hidden layer representation. I trained an vanilla Autoencoder for 100 epochs with 16 mini batch size and learning rate of 0.01. Posted by Rahul Kavi. Wednesday, March 9, 2016. The output from th...

developerstation.org developerstation.org

DeveloperStation.ORG: About Me

http://www.developerstation.org/p/rahul-kavi-my-reserach-page.html

Video Lectures and Talks. I'm a grad student. I write on DeveloperStation. This blog) to keep a "dairy" of some sort to look-up for myself in the future and to help others in the process. I always like to keep a track of present trends in Technology, Programming. You can follow me on Google Plus. My research publications are listed on my Google Scholar page. Paulo Coelho: I have learned. My Amazon Wish List. Subscribe to: Posts (Atom). Fav Networking, Linux, Computer Vision Blogs.

developerstation.org developerstation.org

DeveloperStation.ORG: Simple Autoencoder on MNIST dataset

http://www.developerstation.org/2016/03/simple-autoencoder-on-mnist-dataset.html

Video Lectures and Talks. Sunday, March 13, 2016. Simple Autoencoder on MNIST dataset. So, I had fun with Theano and trained an Autoencoder on a MNIST dataset. More about Autoencoders is available here. More variants of Autoencoders exist (Sparse, Contractive, etc.) are available with different constraints on the hidden layer representation. I trained an vanilla Autoencoder for 100 epochs with 16 mini batch size and learning rate of 0.01. Posted by Rahul Kavi. Subscribe to: Post Comments (Atom).

developerstation.org developerstation.org

DeveloperStation.ORG: September 2014

http://www.developerstation.org/2014_09_01_archive.html

Video Lectures and Talks. Monday, September 8, 2014. Getting data from camera in Robot Operating System. I have used webcams in OpenCV before. However, I came across a situation where I had to stream the webcam data to a ROS (Robot Operating System) topic. There are bunch of ROS packages on ros.org website. However, when I did a. It gave me errors saying there was no such package found. So, I came across this deb package in Ubuntu. Once, I did the above installation all I had to do was. Then I could do a.

developerstation.org developerstation.org

DeveloperStation.ORG: February 2013

http://www.developerstation.org/2013_02_01_archive.html

Video Lectures and Talks. Friday, February 15, 2013. Logistic Regression in python. I wrote a Logistic Regression classisifier in Python using Numpy. You can checkout the source code for the Logistic Regression classifier here. Its a multi-class classifier. Written in Python (uses a one vs rest kind of classification strategy). It also works for 2 class data-sets. T to learn the parameters of the Logistic Regression. You can edit it to make it work with optimization module in Scipy. Posted by Rahul Kavi.

developerstation.org developerstation.org

DeveloperStation.ORG: December 2012

http://www.developerstation.org/2012_12_01_archive.html

Video Lectures and Talks. Sunday, December 23, 2012. Review: Mastering OpenCV with Practical Computer Vision Projects. I got hold of this new book titled " Mastering OpenCV with Practical Computer Vision Projects. I personally liked the part on Point Cloud Library and OpenCV. I liked the Chapter 9 where they discussed Kinect and OpenCV. This chapter was provided as a digital download (as a link). Before trying this book. Posted by Rahul Kavi. Monday, December 17, 2012. Neural Networks in Octave. Review: ...

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Fingerprint Identification

Monday, March 19, 2007. My final report is available. Follow the link). I definitely enjoyed to work. On this project. I also learned a lot from the others. Wednesday, March 14, 2007. To the final presentation. It summarizes the overall approach of the project and the results I got. Wednesday, March 7, 2007. The overall idea is to compute for each point in the two sets, a feature vector, and then compare the features using a feature distance. The indexing of the points may not correspond:. M'2 So we need...

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fingerprint-it

Blogs on and about Fingerprints and Biometrics. Wednesday, May 09, 2007. Fingerprint scan favoured in M'sia, S'pore. URL: http:/ www.zdnetasia.com/news/security/0,39044215,62011592,00.htm. Fingerprint authentication is still the number one choice of security measure for identity verification in Malaysia and Singapore, according to a Unisys survey. Government departments and other organizations. He added: "I think convenience is a big factor in this, particularly convenience in terms of being able to get ...

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