1. FieldTraining Seminar on Field Training Seminar on “Hand-Geometry Based Person Authentication System ” By By Ullesh Chavadi M Ullesh Chavadi M

2. Biometric A biometric is a physiological or behavioral characteristic of a human being that can distinguish one person from another and that theoretically can be used for identification or verification of identity.”“ A biometric is a physiological or behavioral characteristic of a human being that can distinguish one person from another and that theoretically can be used for identification or verification of identity.”

3. ApplicationCategories Application Categories Biometric applications available today are categorized into 2 sectors Psychological: Iris, Fingerprints, Hand, Retinal and Face recognitionPsychological: Iris, Fingerprints, Hand, Retinal and Face recognition Behavioral: Voice, Typing pattern, SignatureBehavioral: Voice, Typing pattern, Signature

4. PhysiologicalCharacteristics Physiological Characteristics Fingerprints Iris Facial Hand geometry

5. BehavioralCharacteristics Behavioral Characteristics Voiceprints Keystroke Dynamics Handwriting

6. Biometric Authentication Process AcquisitionAcquisition Feature ExtractionFeature Extraction Data StorageData Storage AcquisitionAcquisition Feature ExtractionFeature Extraction ComparisonComparison DecisionDecision

7. Why Hand Geometry Ease of Collection Of DataEase of Collection Of Data Fast capture/processingFast capture/processing Small template sizeSmall template size Uses include Access control, time & attendanceUses include Access control, time & attendance

8. Hand Geometry Authentication

9. Cont…. Image CaptureImage Capture PreprocessingPreprocessing MeasurementsMeasurements Optimization of the template SizeOptimization of the template Size Feature Selection & Feature Vector SizeFeature Selection & Feature Vector Size

10. Image Acquisition Using Pegs Pegs Free Hand geometry ImageAcquisition Image Acquisition

11. Preprocessing Binarize the Image. Rotation and Resizing. Rotation and Resizing. Extract the Contour of the Image. Extract the Contour of the Image.

12. Different approaches of hand geometry authentication system “Biometric Verification Using Contour-Based Hand Geometry and Palm print Texture” Sekhar Chandra C“Biometric Verification Using Contour-Based Hand Geometry and Palm print Texture” Sekhar Chandra C  Canny’s edge detection algorithm  Gaussianmask  Gaussian mask

13.  A digital camera used to capture the hand image  Shape of the hand contour and palm print texture  Classification of contours using HMM

14. “An Online Biometric Authentication System Based On Eigenfingers And Finger-Geometry” Acontourfollowingalgorithmusedfor segmentationA contour following algorithm used for segmentation

16. “Authentication Method Using Hand Images For Access Control System” 500 images of 100 persons gives 98.2%500 images of 100 persons gives 98.2%

17. “Robust Pose Invariant Shape Based Hand Recognition” Recognition”

18. Hand segmentation, Pose estimation and Correction Segmentation by global thresholdingSegmentation by global thresholding Skeleton of the hand’s binary imageSkeleton of the hand’s binary image Pose estimation and correctionPose estimation and correction

20. Feature Extraction and Feature Matching Shape and Appearance based Feature extractionShape and Appearance based Feature extraction

22. Conclusion The hand geometry can implement by combination of different hand biometrics method for better performance for example, palm print, finger print, hand shape and so on. the reduction on the resolution of the image files should also be considered since the hand geometrical approach might not require high resolution. This will reduce the amount of space required for databaseThe hand geometry can implement by combination of different hand biometrics method for better performance for example, palm print, finger print, hand shape and so on. the reduction on the resolution of the image files should also be considered since the hand geometrical approach might not require high resolution. This will reduce the amount of space required for database.

23. References [1] A. El-Sallam, F. Sohel, and M. Bennamoun “Robust Pose Invariant Shape-based Hand Recognition” 2011 6th IEEE [1] A. El-Sallam, F. Sohel, and M. Bennamoun “Robust Pose Invariant Shape-based Hand Recognition” 2011 6th IEEE Conference on Industrial Electronics and Applications Conference on Industrial Electronics and Applications [2] P. J. Besl and N. D. McKay, "A method for registration of 3-D shapes," IEEE Trans. Pattern Anal. Mach. Intell, vol. 14, 1992. [3] A. Kumar and D. Zhang, "Personal recognition using hand shape and texture," IEEE Transactions on Image Processing, vol. [3] A. Kumar and D. Zhang, "Personal recognition using hand shape and texture," IEEE Transactions on Image Processing, vol. 15, 2006. 15, 2006. [4] A. K. Jain, A. Ross, and S. Pankanti, "A prototype hand geometry based verification system," presented at the 2nd Int. Conf. [4] A. K. Jain, A. Ross, and S. Pankanti, "A prototype hand geometry based verification system," presented at the 2nd Int. Conf. Audio- and Video- Based Biometric Person Authentication, 1999 Audio- and Video- Based Biometric Person Authentication, 1999 [5] R. Sanchez-Reillo, C. Sanchez-Avila, and A. Gonzalez-Marcos, "Biometric identification through hand geometry [5] R. Sanchez-Reillo, C. Sanchez-Avila, and A. Gonzalez-Marcos, "Biometric identification through hand geometry measurements," IEEE Trans. Pattern Anal. Mach. Intell, vol. 22, 2000 measurements," IEEE Trans. Pattern Anal. Mach. Intell, vol. 22, 2000 [6] G. B. G. Amayeh, A. Erol, and M. Nicolescu, "A component-based approach to hand verification," presented at the IEEE [6] G. B. G. Amayeh, A. Erol, and M. Nicolescu, "A component-based approach to hand verification," presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '07), 2007. Conference on Computer Vision and Pattern Recognition (CVPR '07), 2007. [7] A. Kumar and D. Zhang, "Personal authentication using multiple palm print representation," Pattern Recognition, vol. 38,2005 [7] A. Kumar and D. Zhang, "Personal authentication using multiple palm print representation," Pattern Recognition, vol. 38,2005 [8]Sekhar Chandra C., Naidu Prakash and Shrivastava Sangeeta, “Biometric Verification Using Contour-Based Hand Geometry [8]Sekhar Chandra C., Naidu Prakash and Shrivastava Sangeeta, “Biometric Verification Using Contour-Based Hand Geometry and Palmprint Texture”,Proc. of the 18th International Conference on Pattern Recognition, 2006. and Palmprint Texture”,Proc. of the 18th International Conference on Pattern Recognition, 2006.