Ahmed Ben Atitallah^1,*, Mohamed Amin Ben Atitallah^2,3, Yahia Said^4,5, Mohammed Albekairi¹, Anis Boudabous⁶, Turki M. Alanazi¹, Khaled Kaaniche¹, Mohamed Atri⁷

Computer Systems Science and Engineering, Vol.46, No.1, pp. 701-717, 2023, DOI:10.32604/csse.2023.035871 - 20 January 2023

Abstract The challenge faced by the visually impaired persons in their day-to-day lives is to interpret text from documents. In this context, to help these people, the objective of this work is to develop an efficient text recognition system that allows the isolation, the extraction, and the recognition of text in the case of documents having a textured background, a degraded aspect of colors, and of poor quality, and to synthesize it into speech. This system basically consists of three algorithms: a text localization and detection algorithm based on mathematical morphology method (MMM); a text extraction… More >

Mohamed Amin Ben Atitallah^1,2,3,*, Rostom Kachouri², Ahmed Ben Atitallah⁴, Hassene Mnif¹

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5963-5977, 2022, DOI:10.32604/cmc.2022.024345 - 14 January 2022

Abstract In the context of constructing an embedded system to help visually impaired people to interpret text, in this paper, an efficient High-level synthesis (HLS) Hardware/Software (HW/SW) design for text extraction using the Gamma Correction Method (GCM) is proposed. Indeed, the GCM is a common method used to extract text from a complex color image and video. The purpose of this work is to study the complexity of the GCM method on Xilinx ZCU102 FPGA board and to propose a HW implementation as Intellectual Property (IP) block of the critical blocks in this method using HLS More >

Santander F¹, C Fredes¹, G Nuñez¹, G Casaubon², MI Espinoza², G Montenegro¹

Phyton-International Journal of Experimental Botany, Vol.83, pp. 17-26, 2014, DOI:10.32604/phyton.2014.83.017

Abstract Currently, the search for chemical markers related to the botanical origin of honey is an important issue because of its potential use as a complementary tool for melisopalinological analysis. The objective of this research was to compare the (1) volatile compounds of Quillaja saponaria Mol. (Fam. Quillajaceae) floral nectar with those of unifloral honey of this same species, and (2) volatile compounds in Q. saponaria honeys from the same geographical origin. For the identification and semiquantification of volatile compounds, Gas Chromatography with Mass Spectrometry (GC-MS) was performed. The nectar of Q. saponaria presented volatile compounds different from the… More >