
Panyayot Chaikan- Prince of Songkla University
Panyayot Chaikan
- Prince of Songkla University
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14
Publications
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Introduction
Current institution
Publications
Publications (14)
This paper presents an effective implementation of Strassen's algorithm for matrix-matrix multiplication on shared memory multi-core architecture. The proposed algorithm aims to augment the computation speed in terms of GFLOPS performance on average 4.5 and 4.1 times faster than Eigen and OpenBLAS, respectively while reducing the power consumption...
Sobel edge detection is widely used in computer vision and image processing but its processing time becomes a serious problem in real-time environments, especially when an image is very large. Instead of utilizing a hardware-accelerated approach, we propose a purely software-based method which is simpler and cheaper. Our algorithm reduces the numbe...
Matrix-matrix multiplication is a time-consuming operation in scientific and engineering applications. When the matrix size is large, it will take a lot of computation time, resulting in slow software which is unacceptable in real-time applications. In this paper, 2D-tiling, loop unrolling, data padding, OpenMP directives, and AVX512 intrinsics are...
This paper presents the use of lip-reading and Thai speech to control electronic devices in a vehicle. The Viola-Jones algorithm detects the face of the driver and the constrained local model detects their mouth area before three lips features are extracted. Hidden Markov models are utilized to recognize speech and lip movement, with the lip moveme...
Our multimodal biometric system combines fingerprinting with a top-view finger image captured by a CCD camera without user intervention. The greyscale image is preprocessed to enhance its edges, skin furrows, and the nail shape before being manipulated by a bank of oriented filters. A square tessellation is applied to the filtered image to create a...
This paper describes an algorithm for automatic reference point detection in a top-view finger image recognition system. In tests of 700 finger images, only 6 images were rejected by our algorithm. A reference point location error correction technique was developed to improve the recognition accuracy. When using the proposed algorithm, the accuracy...
This paper describes a feasibility study for using a top-view finger image to increase the accuracy of fingerprint recognition without adding any new user operations. A CCD camera captures a top-view finger image while the user is touching a fingerprint sensor, and the acquired gray scale image is preprocessed to enhance the edges, the skin furrows...