Dr Imran Razzak

STAFF PROFILE

Position

Senior Lecturer, Computer Science

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Geelong Waurn Ponds Campus

Publications

Filter by

2021

Discovering dynamic adverse behavior of policyholders in the life insurance industry

M Islam, S Liu, R Biddle, I Razzak, X Wang, P Tilocca, G Xu

(2021), Vol. 163, pp. 1-10, Technological forecasting and social change, Amsterdam, The Netherlands, C1

journal article

Ground target finding mechanism for unmanned aerial vehicles to secure crop field data

M Uddin, M Ayaz, A Mansour, E Aggoune, A El Fawal, I Razzak

(2021), pp. 1-16, Transactions on emerging telecommunications technologies, Chichester, Eng., C1

journal article

Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease

Iqra Kamran, Saeeda Naz, Muhammad Razzak, Muhammad Imran

(2021), Vol. 117, pp. 234-244, Future generation computer systems, Amsterdam, The Netherlands, C1

journal article

Unit-vise: Deep Shallow Unit-Vise Residual Neural Networks with Transition Layer For Expert Level Skin Cancer Classification

Muhammad Razzak, S Naz

(2021), pp. 1-10, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Piscataway, N.J., C1

journal article

COVIDSenti: a large-scale benchmark Twitter data set for COVID-19 sentiment analysis

U Naseem, I Razzak, M Khushi, P Eklund, J Kim

(2021), pp. 1-13, IEEE transactions on computational social systems, Piscataway, N.J., C1

journal article

The role of unmanned aerial vehicles and mmWave in 5G: recent advances and challenges

S Khan, U Naseem, H Siraj, I Razzak, M Imran

(2021), pp. 1-18, Transactions on emerging telecommunications technologies, Chichester, Eng., C1

journal article

3D shallow deep neural network for fast and precise segmentation of left atrium

Asma Kausar, Imran Razzak, Mohammad Shapiai, Amin Beheshti

(2021), pp. 1-11, Multimedia Systems, Berlin, Germany, C1

journal article

Patch-CNN: Deep learning for logo detection and brand recognition

Waqas Yousaf, Arif Umar, Syed Shirazi, Zakir Khan, Imran Razzak, Mubina Zaka

(2021), Vol. 40, pp. 3849-3862, Journal of Intelligent & Fuzzy Systems, Amsterdam, The Netherlands, C1-1

journal article

Deep transfer learning for alzheimer neurological disorder detection

Abida Ashraf, Saeeda Naz, Syed Shirazi, Imran Razzak, Mukesh Parsad

(2021), pp. 1-26, Multimedia Tools and Applications, Berlin, Germany, C1

journal article

Fusion of CNN and sparse representation for threat estimation near power lines and poles infrastructure using aerial stereo imagery

Abdul Qayyum, Imran Razzak, Aamir Malik, Sajid Anwar

(2021), Vol. 168, pp. 1-9, Technological Forecasting and Social Change, Amsterdam, The Netherlands, C1

journal article

Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities

Arshia Rehman, Saeeda Naz, Imran Razzak

(2021), pp. 1-33, Multimedia Systems, Berlin, Germany, C1

journal article

Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis

A Qayyum, I Razzak, M Tanveer, A Kumar

(2021), pp. 1-21, Annals of Operations Research, Berlin, Germany, C1

journal article

Hot-spot zone detection to tackle COVID19 spread by fusing the traditional machine learning and deep learning approaches of computer vision

Muhammad Khan, Muhammad Khan, Tanzila Saba, Muhammad Razzak, Amjad Rehman, Saeed Bahaj

(2021), Vol. 9, pp. 1-11, IEEE Access, Piscataway, N.J., C1

journal article

A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models

Usman Naseem, Imran Razzak, Shah Khan, Mukesh Prasad

(2021), Vol. 20, pp. 1-35, ACM Transactions on Asian and Low-Resource Language Information Processing, New York, N.Y., C1

journal article

Classification of Alzheimer's disease using ensemble of deep neural networks trained through transfer learning

M Tanveer, Ashraf Rashid, M Ganaie, M Reza, Imran Razzak, Kai-Lung Hua

(2021), pp. 1-12, IEEE Jjournal of biomedical and health informatics, Piscataway, N.J., C1

journal article

Predicting brain age using machine learning algorithms: a comprehensive evaluation

Iman Beheshti, M Ganaie, Vardhan Paliwal, Aryan Rastogi, Imran Razzak, M Tanveer

(2021), pp. 1-9, IEEE journal of biomedical and health informatics, Piscataway, N.J., C1

journal article
2020

Cursive script text recognition in natural scene images: Arabic text complexities

Saad Ahmed, M Razzak, Rubiyah Yusof

(2020), Singapore, A1-1

book

Big data analytics for preventive medicine

M Razzak, M Imran, G Xu

(2020), Vol. 32, pp. 4417-4451, Neural computing and applications, Cham, Switzerland, C1-1

journal article

Refining Parkinson's neurological disorder identification through deep transfer learning

A Naseer, M Rani, S Naz, M Razzak, M Imran, G Xu

(2020), Vol. 32, pp. 839-854, Neural computing and applications, Cham, Switzerland, C1-1

journal article

Integrating joint feature selection into subspace learning: a formulation of 2DPCA for outliers robust feature selection

Imran Razzak, Raghib Saris, Michael Blumenstein, Guandong Xu

(2020), Vol. 121, pp. 441-451, Neural networks, Amsterda, The Netherlands, C1-1

journal article

Deep optical character recognition: a case of Pashto language

Shizza Zahoor, Saeeda Naz, Naila Khan, Muhammad Razzak

(2020), Vol. 29, pp. 1-18, Journal of electronic imaging, Bellingham, Wash., C1

journal article

Deep OCR for Arabic script‐based language like Pastho

Saeeda Naz, Naila Khan, Shizza Zahoor, Muhammad Razzak

(2020), pp. 1-11, Expert Systems, London, Eng., C1

journal article

Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data

Imran Razzak, Khurram Zafar, Muhammad Imran, Guandong Xu

(2020), Vol. 112, pp. 715-723, Future generation computer systems, Amsterdam, The Netherlands, C1

journal article

Transformer based deep intelligent contextual embedding for twitter sentiment analysis

Usman Naseem, Imran Razzak, Katarzyna Musial, Muhammad Imran

(2020), Vol. 113, pp. 58-69, Future generation computer systems, Amsterdam, The Netherlands, C1

journal article

A Two-Phase Approach for Semi-Supervised Feature Selection

Amit Saxena, Shreya Pare, Mahendra Meena, Deepak Gupta, Akshansh Gupta, Imran Razzak, Chin-Teng Lin, Mukesh Prasad

(2020), Vol. 13, pp. 1-20, Algorithms, Basel, Switzerland, C1

journal article

Applying deep neural networks for user intention identification

Asad Khattak, Anam Habib, Muhammad Asghar, Fazli Subhan, Imran Razzak, Ammara Habib

(2020), pp. 1-30, Soft Computing, New York, N.Y., C1

journal article

A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter

U Naseem, Muhammad Razzak, P Eklund

(2020), pp. 1-28, Multimedia tools and applications, New York, N.Y., C1

journal article

An efficient secure data compression technique based on chaos and adaptive Huffman coding

M Usama, Q Malluhi, N Zakaria, I Razzak, W Iqbal

(2020), pp. 1-14, Peer-to-peer networking and applications, Cham, Switzerland, C1

journal article

EveSense: What Can You Sense from Twitter?

Zafar Saeed, Rabeeh Abbasi, Muhammad Razzak

(2020), pp. 491-495, ECIR 2020 : Advances in Information Retrieval : Proceedings of the European Conference on Information Retrieval, Lisbon, Portugal, E1

conference

Skin lesion analysis toward accurate detection of melanoma using multistage fully connected residual network

M Razzak, Ghosia Shoukat, Saeeda Naz, Tariq Khan

(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1

conference

Cooperative evolution Multiclass Support Matrix Machines

Imran Razzak

(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1

conference

One-class support tensor machines with bounded hinge loss function for anomaly detection

M Razzak, Tariq Khan

(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1

conference

Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm

U Naseem, I Razzak, P Eklund, K Musial

(2020), pp. 1-7, IJCNN 2020 : Proceedings of the 2020 International Joint conference on Neural Networks, Online from Glasgow, Scotland, E1

conference

Unconstrained Arabic scene text analysis using concurrent invariant points

S Ahmed, S Naz, I Razzak, M Prasad

(2020), pp. 1-6, IJCNN : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1

conference

Improving Personal Health Mention detection on Twitter using Permutation Based Word Representation Learning

Pervaiz Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed

(2020), Vol. 12532, pp. 776-785, ICONIP 2020 : 27th International Conference on Neural Information Processing - Part 1, Online : Bangkok, Thailand, E1

conference

End-to-end analysis for text detection and recognition in natural scene images

Ahlam Alnefaie, Deepak Gupta, Monowar Bhuyan, Muhammad Razzak, Prashant Gupta, Mukesh Prasad

(2020), pp. 1-8, IJCNN : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1

conference

Deep analysis of handwritten notes for early diagnosis of neurological disorders

Muhammad Razzak, Iqra Kamran, Saeeda Naz

(2020), pp. 1-6, IJCNN : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1

conference

Multipath deep shallow convolutional networks for large scale plant species identification in wild image

Syeda Riaz, Saeeda Naz, Muhummad Razzak

(2020), pp. 1-7, IJCNN : Proceedings of the 2020 International Joint Conference on Neural Networks 2020, Online from Glasgow, Scotland, E1

conference

RipNet: a lightweight one-class deep neural network for the identification of RIP currents

A Rashid, I Razzak, M Tanveer, A Robles-Kelly

(2020), Vol. 1333, pp. 172-179, ICONIP 2020 : Proceedings of the 27th International Conference on Neural Information Processing 2020, Online from Bangkok, Thailand, E1

conference

Hybrid deep shallow network for assessment of depression using electroencephalogram signals

A Qayyum, I Razzak, W Mumtaz

(2020), Vol. 12534, pp. 245-257, ICONIP 2020 : Proceedings of the 27th International Conference on Neural Information Processing, Online from Bangkok, Thailand, E1

conference

MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry

M Islam, S Liu, I Razzak, M Kabir, X Wang, P Tilocca, G Xu

(2020), pp. 1-4, BESC 2020 : Proceedings of 7th IEEE International Conference on Behavioural and Social Computing, Online, E1

conference
2019

An application of deep learning in character recognition: an overview

S Saeed, S Naz, M Razzak

(2019), Vol. 136, pp. 53-81, Handbook of deep learning applications, Cham, Switzerland, B1-1

book chapter

A deep learning-based framework for automatic brain tumors classification using transfer learning

A Rehman, S Naz, M Razzak, F Akram, M Imran

(2019), Vol. 39, pp. 757-775, Circuits, systems and signal processing, Cham, Switzerland, C1-1

journal article

A novel dataset for English-Arabic scene text recognition (EASTR)-42K and its evaluation using invariant feature extraction on detected extremal regions

S Ahmed, S Naz, M Razzak, R Yusof

(2019), Vol. 7, pp. 19801-19820, IEEE access, Piscataway, N.J., C1-1

journal article

Writer identification using machine learning approaches: a comprehensive review

A Rehman, S Naz, M Razzak

(2019), Vol. 78, pp. 10889-10931, Multimedia tools and applications, Cham, Switzerland, C1-1

journal article

Arabic cursive text recognition from natural scene images

S Ahmed, S Naz, M Razzak, R Yusof

(2019), Vol. 9, Applied sciences, Basel, Switzerland, C1-1

journal article

Efficient brain tumor segmentation with multiscale two-pathway-group conventional neural networks

M Razzak, M Imran, G Xu

(2019), Vol. 23, pp. 1911-1919, IEEE journal of biomedical and health informatics, Piscataway, N.J., C1-1

journal article

Automatic visual features for writer identification: a deep learning approach

A Rehman, S Naz, M Razzak, I Hameed

(2019), Vol. 7, pp. 17149-17157, IEEE access, Piscataway, N.J., C1-1

journal article

Handwritten Urdu character recognition using one-dimensional BLSTM classifier

S Ahmed, S Naz, S Swati, M Razzak

(2019), Vol. 31, pp. 1143-1151, Neural computing and applications, Cham, Switzerland, C1-1

journal article

Enhanced heartbeat graph for emerging event detection on Twitter using time series networks

Z Saeed, R Abbasi, I Razzak, O Maqbool, A Sadaf, G Xu

(2019), Vol. 136, pp. 115-132, Expert systems with applications, Amsterdam, The Netherlands, C1-1

journal article

Multiclass support matrix machines by maximizing the inter-class margin for single trial EEG classification

I Razzak, M Blumenstein, G Xu

(2019), Vol. 27, pp. 1117-1127, IEEE transactions on neural systems and rehabilitation engineering, Piscataway, N.J., C1-1

journal article

Evaluation of handwritten Urdu text by integration of MNIST dataset learning experience

Saad Ahmed, Ibrahim Hameed, Saeeda Naz, Muhammad Razzak, Rubiyah Yusof

(2019), Vol. 7, pp. 153566-153578, IEEE access, Piscataway, N.J., C1-1

journal article

What's happening around the world? A survey and framework on event detection techniques on Twitter

Zafar Saeed, Rabeeh Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Aljohani, Guandong Xu

(2019), Vol. 17, pp. 279-312, Journal of grid computing, Cham, Switzerland, C1-1

journal article

Robust sparse representation and multiclass support matrix machines for the classification of motor imagery EEG signals

Imran Razzak, Ibrahim A. Hameed, Guandong Xu

(2019), Vol. 7, IEEE journal of translational engineering in health and medicine, Piscataway, N.J., C1-1

journal article

Hybrid words representation for airlines sentiment analysis

U Naseem, S Khan, I Razzak, I Hameed

(2019), Vol. 11919, pp. 381-392, AI 2019 : Proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence, Adelaide, Australia, E1-1

conference
2018

Automated pathology image analysis

S Shirazi, S Naz, M Razzak, A Umar, A Zaib

(2018), pp. 13-29, Soft computing based medical image analysis, Amsterdam, The Netherlands, B1-1

book chapter

Deep learning for medical image processing: overview, challenges and the future

M Razzak, S Naz, A Zaib

(2018), Vol. 26, pp. 323-350, Classification in BioApps: Automation of Decision Making, Cham, Switzerland, B1-1

book chapter

Extreme learning machine based microscopic red blood cells classification

S Shirazi, A Umar, N Haq, S Naz, M Razzak, A Zaib

(2018), Vol. 21, pp. 691-701, Cluster computing, Cham, Switzerland, C1-1

journal article

Statistical features extraction for character recognition using recurrent neural network

S Naz, A Umar, S Ahmed, R Ahmad, S Shirazi, M Razzak, A Zaman

(2018), Vol. 34, pp. 47-53, Pakistan journal of statistics, Lahore, Pakistan, C1-1

journal article

Cursive scene text analysis by deep convolutional linear pyramids

S Ahmed, S Naz, M Razzak, R Yusof

(2018), Vol. 11301, pp. 307-318, ICONIP 2018 : International Conference on Neural Information Processing, Siem Reap, Cambodia, E1-1

conference

Robust 2D joint sparse principal component analysis with f-norm minimization for sparse modelling: 2D-RJSPCA

M Razzak, R Saris, M Blumenstein, G Xu

(2018), Vol. 2018-July, IJCNN 2018 : International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, E1-1

conference

Text stream to temporal network - a dynamic heartbeat graph to detect emerging events on twitter

Z Saeed, R Abbasi, A Sadaf, M Razzak, G Xu

(2018), Vol. 10938, pp. 534-545, PAKDD 2018: Advances in Knowledge Discovery and Data Mining : Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, Australia, E1-1

conference
2017

Urdu Nastaliq recognition using convolutional-recursive deep learning

S Naz, A Umar, R Ahmad, I Siddiqi, S Ahmed, M Razzak, F Shafait

(2017), Vol. 243, pp. 80-87, Neurocomputing, Amsterdam, The Netherlands, C1-1

journal article

Urdu Nasta'liq text recognition system based on multi-dimensional recurrent neural network and statistical features

S Naz, A Umar, R Ahmad, S Ahmed, S Shirazi, M Razzak

(2017), Vol. 28, pp. 219-231, Neural computing and applications, London, Eng., C1-1

journal article

UCOM offline dataset-an Urdu handwritten dataset generation

S Bin Ahmed, S Naz, S Swati, I Razzak, A Umar, A Ali Khan

(2017), Vol. 14, pp. 239-245, The international Arab journal of information technology, Zarqa, Jordan, C1-1

journal article

Microscopic blood smear segmentation and classification using deep contour aware CNN and extreme machine learning

M Razzak, S Naz

(2017), Vol. 2017-July, pp. 801-807, CVPRW 2017 : IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Honolulu, Hawaii, E1-1

conference

Deep learning based isolated Arabic scene character recognition

Saad Ahmed, Saeeda Naz, Muhammad Razzak, Rubiyah Yousaf

(2017), pp. 46-51, ASAR 2017 : 1st International Workshop on Arabic Script Analysis and Recognition, Nancy, France, E1-1

conference
2016

Urdu Nasta'liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks

S Naz, A Umar, R Ahmed, M Razzak, S Rashid, F Shafait

(2016), Vol. 5, pp. 1-16, SpringerPlus, London, Eng., C1-1

journal article

An ontology-based system to predict hospital readmission within 30 days

H Ghamdi, R Alshammari, M Razzak

(2016), Vol. 9, pp. 236-244, International journal of healthcare management, Abingdon, Eng., C1-1

journal article

Developing ontology for RFID based infant protection system

A Al Asaimi, M Razzak, R Alshammari

(2016), Vol. 22, pp. 2759-2763, Advanced Science Letters, Stevenson Ranch, Calif., C1-1

journal article

Blood bank control system: An ontology

E Al Moamary, R Alshammari, M Razzak

(2016), Vol. 22, pp. 2822-2826, Advanced Science Letters, Stevenson Ranch, Calif., C1-1

journal article

Efficient leukocyte segmentation and recognition in peripheral blood image

S Shirazi, A Umar, S Naz, M Razzak

(2016), Vol. 24, pp. 335-347, Technology and health care, Amsterdam, The Netherlands, C1-1

journal article

Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks

S Naz, A Umar, R Ahmad, S Ahmed, S Shirazi, I Siddiqi, M Razzak

(2016), Vol. 177, pp. 228-241, Neurocomputing, Amsterdam, The Netherlands, C1-1

journal article

Evaluation of cursive and non-cursive scripts using recurrent neural networks

S Ahmed, S Naz, M Razzak, S Rashid, M Afzal, T Breuel

(2016), Vol. 27, pp. 603-613, Neural computing and applications, London, Eng., C1-1

journal article

Segmentation techniques for recognition of Arabic-like scripts: a comprehensive survey

S Naz, A Umar, S Shirazi, S Ahmed, M Razzak, I Siddiqi

(2016), Vol. 21, pp. 1225-1241, Education and information technologies, New York, N.Y., C1-1

journal article

Lexicon reduction for Urdu/Arabic script based character recognition: A multilingual OCR

Saeeda Naz, Arif Umar, Muhammad Razzak

(2016), Vol. 35, pp. 209-216, Mehran University Research Journal Of Engineering & Technology, Jamshoro, Pakistan, C1-1

journal article

Content-based image retrieval using texture color shape and region

Syed Shirazi, Arif Umar, Saeeda Naz, Noor Khan, Muhammad Razzak, Bandar AlHaqbani

(2016), Vol. 7, pp. 418-426, International journal of advanced computer science and applications, New York, N.Y., C1-1

journal article

An ontology-based framework aiming to support cardiac rehabilitation program

M Waqialla, M Razzak

(2016), KES2016 : 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, York, England, E1-1

conference

Zoning features and 2DLSTM for urdu text-line recognition

S Naz, S Ahmed, R Ahmad, M Razzak

(2016), KES2016 : 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, York, England, E1-1

conference

The minutiae based latent fingerprint recognition system

S Ahmed, M Razzak, B Alhaqbani

(2016), Vol. March-2016, Proceedings of the 2016 International Conference on Internet of things and Cloud Computing, Cambridge, England, E1-1

conference

Balinese character recognition using bidirectional LSTM classifier

S Ahmed, S Naz, M Razzak, T Breuel

(2016), Vol. 387, pp. 201-211, MALSIP 2015 : Advances in Machine Learning and Signal Processing, Ho Chi Minh City, Vietnam, E1-1

conference
2015

Adaptive filtering algorithms for channel equalization in wireless communication

L Mahmood, S Shirazi, S Naz, S Shirazi, M Razzak, A Umar, S Ashraf

(2015), Vol. 8, Indian journal of science and technology, Chennai, India, C1-1

journal article

Multilevel fusion for fast online signature recognition using multi-section VQ and time modelling

M Razzak, B Alhaqbani

(2015), Vol. 26, pp. 1117-1127, Neural computing and applications, Cham, Switzerland, C1-1

journal article

Automatic detection of malarial parasite using microscopic blood images

M Razzak, B Alhaqbani

(2015), Vol. 5, pp. 591-598, Journal of medical imaging and health informatics, Valencia, Calif., C1-1

journal article

A hybrid approach for NER system for Scarce Resourced Language-URDU: Integrating n-gram with rules and gazetteers

Saeeda Naz, Arif Umar, Muhammad Razzak

(2015), Vol. 34, pp. 349-358, Mehran University Research Journal Of Engineering & Technology, Jamshoro, Pakistan, C1-1

journal article

Accurate microscopic red blood cell image enhancement and segmentation

S Shirazi, A Umar, N Ul Haq, S Naz, M Razzak

(2015), Vol. 9043, pp. 183-192, IWBBIO 2015 : Bioinformatics and Biomedical Engineering, Granada, Spain, E1-1

conference
2014

Middle Eastern character recognition

A Belaíd, M Razzak

(2014), pp. 427-457, Handbook of document image processing and recognition, London, Eng., B1-1

book chapter

Challenges in baseline detection of arabic script based languages

S Naz, M Razzak, K Hayat, M Anwar, S Khan

(2014), Vol. 542, pp. 181-196, Studies in computational intelligence, Cham, Switzerland, C1-1

journal article

An Ocr system for printed Nasta'liq script: a segmentation based approach

S Naz, A Umar, S Ahmed, S Shirazi, M Razzak, I Siddiqi

(2014), pp. 255-259, 17th IEEE International Multi Topic Conference 2014, Karachi, Pakistan, E1-1

conference

The optical character recognition of Urdu-like cursive scripts

S Naz, K Hayat, M Razzak, M Waqas Anwar, S Madani, S Khan

(2014), Vol. 47, pp. 1229-1248, ICFHR 2012 : International Conference on Frontiers in Handwriting Recognition, Bari, Italy, E1-1

conference
2013

Challenges in baseline detection of cursive script languages

S Naz, K Hayat, M Anwar, H Akbar, M Razzak

(2013), pp. 551-556, 2013 Science and Information Conference, London, England, E1-1

conference

Arabic script based language character recognition: Nasta'liq vs Naskh analysis

S Naz, K Hayat, M Razzak, M Anwar, H Akbar

(2013), WCCIT 2013 : World Congress on Computer and Information Technology, Sousse, Tunisia, E1-1

conference

Arabic script based character segmentation: a review

S Naz, K Hayat, M Razzak, M Anwar, H Akbar

(2013), WCCIT 2013 : World Congress on Computer and Information Technology, Sousse, Tunisia, E1-1

conference
2011

Handling diacritical marks for online Arabic script based languages character recognition using fuzzy c-mean clustering and relative position

M Razzak, S Husain, M Khan, M Sher

(2011), Vol. 14, pp. 157-165, Information, C1-1

journal article

Fingerprint classification using PCA, LDA, L-LDA and BPN

M Khalil, M Razzak, M Khan

(2011), Vol. 14, pp. 3313-3323, Information, C1-1

journal article

Energy efficient distributed face recognition in wireless sensor network

M Razzak, M Khan, K Alghathbar, J Park

(2011), Vol. 60, pp. 571-582, Wireless Personal Communications, C1-1

journal article

Multimodal biometric recognition based on fusion of low resolution face and finger veins

M Razzak, M Khan, K Alghathbar, R Yusof

(2011), Vol. 7, pp. 4679-4689, International Journal of Innovative Computing, Information and Control, C1

journal article

Co-occurrence matrix features for fingerprint verification

M Khalil, M Khan, M Razzak

(2011), pp. 43-46, ASID 2011 - Proceedings: 2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification, Xiamen, China, E1-1

conference
2010

HMM and fuzzy logic: A hybrid approach for online Urdu script-based languages' character recognition

M Razzak, F Anwar, S Husain, A Belaid, M Sher

(2010), Vol. 23, pp. 914-923, Knowledge-Based Systems, C1

journal article

Multimodal face and finger veins biometric authentication

M Razzak, R Yusof, M Khalid

(2010), Vol. 5, pp. 2529-2534, Scientific Research and Essays, Nairobi, Kenya, C1-1

journal article

Contactless biometrics in wireless sensor network: A survey

M Razzak, M Khan, K Alghathbar

(2010), Vol. 122 CCIS, pp. 236-243, 2010 International Conferences on Security Technology (SecTech 2010) and Disaster Recovery and Business Continuity (DRBC 2010), Jeju Island, Korea, E1-1

conference

Face recognition using layered linear discriminant analysis and small subspace

M Razzak, M Khan, K Alghathbar, R Yousaf

(2010), pp. 1407-1412, Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010, E1-1

conference

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report