A fingertip detection method based on the top-hat transform

Author

Prasertsakul, Pawin ; Kondo, Toshiaki

Author_Institution

Sch. of Inf., Sirindhorn Int. Inst. of Technol. Thammasat Univ., Pathum Thani, Thailand

fYear

2014

fDate

14-17 May 2014

Firstpage

1

Lastpage

5

Abstract

This paper presents a fingertip detection method that is based on the top-hat transform. A hand is assumed to be segmented in advance. The palm of the hand is obtained using the morphological opening. Fingertips are then obtained as the opening residue, the difference between the input image and the palm image. The performance of the approach is compared with three other techniques: (1) the convex hull algorithm, (2) Kanade-Lucas-Tomasi (KLT) feature tracker, and (3) the SUSAN corner detector. Simulation results show that the method (1) is ineffective to closed hands. The methods (2) and (3) respond falsely to many non-fingertip points. By contrast, the proposed method works well even when the hand is closed.

Keywords

edge detection; fingerprint identification; image segmentation; transforms; Kanade-Lucas-Tomasi feature tracker; SUSAN corner detector; convex hull algorithm; fingertip detection; image segmentation; morphological opening; palm image; top-hat transform; Detectors; Eigenvalues and eigenfunctions; Image segmentation; Sensitivity; Thumb; Transforms; Convex hull; Fingertip detection; KLT traker; SUSAN corner detector; Top-hat transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2014 11th International Conference on

Conference_Location

Nakhon Ratchasima

Type

conf

DOI

10.1109/ECTICon.2014.6839793

Filename

6839793