Handwritten Kannada numerals recognition using deep learning convolution neural network (DCNN) classifier

VC Hallur, RS Hegadi - CSI Transactions on ICT, 2020 - Springer
In pattern recognition, identifying Kannada handwritten numerals are a complex knot. This
paper portrays an avenue that pikes us to attain a most potent Kannada Numerals …

[PDF][PDF] Efficient segmentation of arabic handwritten characters using structural features.

MA Bahashwan, SAR Abu-Bakar, UU Sheikh - Int. Arab J. Inf. Technol., 2017 - umc.edu.dz
Handwriting recognition is an important field as it has many practical applications such as for
bank cheque processing, post office address processing and zip code recognition. Most …

Real-time feedback engine for online Jawi character recognition

NM Diah, RZ Ramli, NAM Zin… - International Journal of …, 2022 - search.proquest.com
Jawi is a type of cursive writing derived from the Arabic alphabets and adopted for writing
the Malay language. The Jawi alphabet has 36 basic characters, in which 28 characters are …

FPGA parallel recognition engine for handwritten Arabic words

A Suyyagh, G Abandah - Journal of Signal Processing Systems, 2015 - Springer
Arabic optical character recognition (OCR) has been an active field of research for decades.
Yet, it has limited application domains constrained to printed text. This is partly due to high …

A study on Farsi handwriting styles for online recognition

V Ghods, E Kabir - Malaysian Journal of Computer Science, 2013 - adab.um.edu.my
Knowing varieties of writing a letter in a word or a subword in different handwriting styles is
very beneficial in recognition specifically for online recognition. In this paper, TMU-OFS …

DHJ: A database of handwritten Jawi for recognition research

K Saddami, K Munadi, Y Away… - … Conference on Electrical …, 2017 - ieeexplore.ieee.org
This paper proposes a database of handwritten Jawi (DHJ) for conducting the research in
this area. Previously, a printed Jawi dataset has been proposed and this handwritten dataset …

Extracting True Number of Clusters for Segmenting Image through Adaptive Finite Gaussian Mixture Model

MM Ahmad, S Naeem, SMR Habib - VFAST Transactions on Software …, 2019 - vfast.org
Knowing exact number of clusters in a digital image significantly facilitates in precisely
clustering an image. This paper proposes a new technique for extracting exact number of …

[PDF][PDF] A Survey on Offline-Methods of Character Segmentation

K Pandya, J Kaneria, R Tailor, KJ Dangarwala - academia.edu
Character segmentation is the critical area of the Optical Character Recognition process.
The higher recognition rates for isolated characters as compared to those obtained for words …

A new approach for Jawi sub-word segmentation using histogram projection

K Saddami, K Munadi, F Arnia - 2016 IEEE Region 10 …, 2016 - ieeexplore.ieee.org
Segmentation is an important procedure in the character recognition framework which
separates one character from the others. Jawi characters as a variance of Arabic characters …

[PDF][PDF] Jawi OCR: Challenges and Opportunities

SA Sattar, A Siddiqui - Programme Committee - academia.edu
This paper presents challenges and opportunities for the implementation of an Optical
Character Recognition (OCR) for Jawi, an Arabic adapted script with seven added …