{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T16:33:15Z","timestamp":1772555595472,"version":"3.50.1"},"reference-count":51,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2022,12,14]],"date-time":"2022-12-14T00:00:00Z","timestamp":1670976000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In recent years, palmprint recognition has gained increased interest and has been a focus of significant research as a trustworthy personal identification method. The performance of any palmprint recognition system mainly depends on the effectiveness of the utilized feature extraction approach. In this paper, we propose a three-step approach to address the challenging problem of contactless palmprint recognition: (1) a pre-processing, based on median filtering and contrast limited adaptive histogram equalization (CLAHE), is used to remove potential noise and equalize the images\u2019 lighting; (2) a multiresolution analysis is applied to extract binarized statistical image features (BSIF) at several discrete wavelet transform (DWT) resolutions; (3) a classification stage is performed to categorize the extracted features into the corresponding class using a K-nearest neighbors (K-NN)-based classifier. The feature extraction strategy is the main contribution of this work; we used the multiresolution analysis to extract the pertinent information from several image resolutions as an alternative to the classical method based on multi-patch decomposition. The proposed approach was thoroughly assessed using two contactless palmprint databases: the Indian Institute of Technology\u2014Delhi (IITD) and the Chinese Academy of Sciences Institute of Automatisation (CASIA). The results are impressive compared to the current state-of-the-art methods: the Rank-1 recognition rates are 98.77% and 98.10% for the IITD and CASIA databases, respectively.<\/jats:p>","DOI":"10.3390\/s22249814","type":"journal-article","created":{"date-parts":[[2022,12,14]],"date-time":"2022-12-14T04:15:00Z","timestamp":1670991300000},"page":"9814","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Contactless Palmprint Recognition Using Binarized Statistical Image Features-Based Multiresolution Analysis"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5347-4435","authenticated-orcid":false,"given":"Nadia","family":"Amrouni","sequence":"first","affiliation":[{"name":"LIST Laboratory, University of M\u2019Hamed Bougara Boumerdes, Avenue of Independence, Boumerdes 35000, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0437-1143","authenticated-orcid":false,"given":"Amir","family":"Benzaoui","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, University of Skikda, BP 26, El Hadaiek, Skikda 21000, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafik","family":"Bouaouina","sequence":"additional","affiliation":[{"name":"PIMIS Laboratory, Electronics and Telecommunications Department, Universit\u00e9 du 8 Mai 1945 Guelma, Guelma 24000, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yacine","family":"Khaldi","sequence":"additional","affiliation":[{"name":"LIMPAF Laboratory, Department of Computer Science, University of Bouira, Bouira 10000, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Insaf","family":"Adjabi","sequence":"additional","affiliation":[{"name":"LIMPAF Laboratory, Department of Computer Science, University of Bouira, Bouira 10000, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ouahiba","family":"Bouglimina","sequence":"additional","affiliation":[{"name":"Higher School of Computer Science and Technology (ESTIN), Bejaia 06300, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Gomez-Barrero, M., Gomez-Barrero, M., Drozdowski, P., Rathgeb, C., Patino, J., Todisco, M., Nautsch, A., Damer, N., Priesnitz, J., and Evans, N. (2022). Biometrics in the Era of COVID-19: Challenges and Opportunities. IEEE Trans. Technol. Soc., 1.","DOI":"10.1109\/TTS.2022.3203571"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Adjabi, I., Ouahabi, A., Benzaoui, A., and Taleb-Ahmed, A. (2020). Past, present, and future of face recognition: A Review. Electronics, 9.","DOI":"10.20944\/preprints202007.0479.v1"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1109\/TIFS.2006.873653","article-title":"Biometrics: A Tool for Information Security","volume":"1","author":"Jain","year":"2006","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.neucom.2018.03.081","article-title":"Decade Progress of Palmprint Recognition: A Brief Survey","volume":"328","author":"Zhong","year":"2019","journal-title":"Neurocomputing"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1109\/TSMC.2018.2795609","article-title":"Feature Extraction Methods for Palmprint Recognition: A Survey and Evaluation","volume":"49","author":"Fei","year":"2018","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1109\/TPAMI.2008.242","article-title":"Latent Palmprint Matching","volume":"31","author":"Jain","year":"2008","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2071389.2071391","article-title":"A Comparative Study of Palmprint Recognition Algorithms","volume":"44","author":"Zhang","year":"2012","journal-title":"ACM Comput. Surv. CSUR"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3160","DOI":"10.1109\/TIFS.2019.2911165","article-title":"PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition","volume":"14","author":"Genovese","year":"2019","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1491","DOI":"10.1109\/TSMCC.2012.2195653","article-title":"Principal Line-Based Alignment Refinement for Palmprint Recognition","volume":"42","author":"Li","year":"2012","journal-title":"IEEE Trans. Syst. Man Cybern. Part C Appl. Rev."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"889","DOI":"10.18280\/ts.370602","article-title":"Contactless Multi-Biometric System Using Fingerprint and Palmprint Selfies","volume":"37","author":"Herbadji","year":"2020","journal-title":"Trait. Signal"},{"key":"ref_11","unstructured":"Kannala, J., and Rahtu, E. (2012, January 11\u201315). BSIF: Binarized Statistical Image Features. Proceedings of the 21st IEEE International Conference on Pattern Recognition (ICPR), Tsukuba, Japan."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Ahonen, T., Hadid, A., and Pietik\u00e4inen, M. (2004, January 11\u201314). Face Recognition with Local Binary Patterns. Proceedings of the European Conference on Computer Vision (ECCV), Prague, Czech Republic.","DOI":"10.1007\/978-3-540-24670-1_36"},{"key":"ref_13","unstructured":"Dalal, N., and Triggs, B. (2005, January 20\u201325). Histograms of Oriented Gradients for Human Detection. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, USA."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Ojansivu, V., and Heikkil\u00e4, J. (2008, January 1\u20133). Blur Insensitive Texture Classification Using Local Phase Quantization. Proceedings of the International Conference on Image and Signal Processing (ICISP), Cherbourg-Octeville, France.","DOI":"10.1007\/978-3-540-69905-7_27"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Vu, N.-S., and Caplier, A. (2010, January 5\u201311). Face Recognition with Patterns of Oriented Edge Magnitudes. Proceedings of the European Conference on Computer Vision (ECCV), Heraklion, Greece.","DOI":"10.1007\/978-3-642-15549-9_23"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/S1364-6613(00)01813-1","article-title":"Independent Component Analysis: An Introduction","volume":"6","author":"Stone","year":"2002","journal-title":"Trends Cogn. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2464","DOI":"10.1109\/78.157290","article-title":"The Discrete Wavelet Transform: Wedding the Trous and Mallat Algorithms","volume":"40","author":"Shensa","year":"1992","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Kumar, A. (2008, January 16\u201319). Incorporating Cohort Information for Reliable Palmprint Authentication. Proceedings of the Sixth Indian Conference on Computer Vision, Graphics & Image Processing (ICVGIP), Bhubaneswar, India.","DOI":"10.1109\/ICVGIP.2008.73"},{"key":"ref_19","unstructured":"Sun, Z., Tan, T., Wang, Y., and Li, S.Z. (2005, January 20\u201325). Ordinal Palmprint Represention for Personal Identification [Represention Read Representation]. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, USA."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Kong, A.W.K., and Zhang, D. (2004, January 23\u201326). Competitive coding scheme for palmprint verification. Proceedings of the 17th International Conference on Pattern Recognition (ICPR), Cambridge, UK.","DOI":"10.1109\/ICPR.2004.1334184"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1109\/LSP.2012.2211589","article-title":"Fragile bits in palmprint recognition","volume":"19","author":"Zhang","year":"2012","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.patcog.2015.08.001","article-title":"Double-orientation code and nonlinear matching scheme for palmprint recognition","volume":"49","author":"Fei","year":"2016","journal-title":"Pattern Recognit."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1109\/TSMC.2016.2597291","article-title":"Discriminative and Robust Competitive Code for Palmprint Recognition","volume":"48","author":"Xu","year":"2018","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1551","DOI":"10.1016\/j.imavis.2008.06.010","article-title":"Touchless palm print biometrics: Novel design and implementation","volume":"26","author":"Michael","year":"2008","journal-title":"Image Vis. Comput."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1049\/iet-cvi.2010.0191","article-title":"Towards contactless palmprint authentication","volume":"5","author":"Morales","year":"2011","journal-title":"IET Comput. Vis."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1023","DOI":"10.1007\/s11042-012-1109-x","article-title":"Selection of discriminative sub-regions for palmprint recognition","volume":"68","author":"Hammami","year":"2014","journal-title":"Multimed. Tools Appl."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"3314","DOI":"10.1016\/j.patcog.2014.04.008","article-title":"A SIFT-based contactless palmprint verification approach using iterative RANSAC and local palmprint descriptors","volume":"47","author":"Wu","year":"2014","journal-title":"Pattern Recognit."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.patcog.2015.08.025","article-title":"Local line directional pattern for palmprint recognition","volume":"50","author":"Luo","year":"2016","journal-title":"Pattern Recognit."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Wu, L., Xu, Y., Cui, Z., Zuo, Y., Zhao, S., and Fei, L. (2021). Triple-Type Feature Extraction for Palmprint Recognition. Sensors, 21.","DOI":"10.3390\/s21144896"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Izadpanahkakhk, M., Razavi, S.M., Taghipour-Gorjikolaie, M., Zahiri, S.H., and Uncini, A. (2018). Deep Region of Interest and Feature Extraction Models for Palmprint Verification Using Convolutional Neural Networks Transfer Learning. Appl. Sci., 8.","DOI":"10.3390\/app8071210"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"107071","DOI":"10.1016\/j.patcog.2019.107071","article-title":"Deep discriminative representation for generic palmprint recognition","volume":"98","author":"Zhao","year":"2020","journal-title":"Pattern Recognit."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"George, G., Oommen, R.M., Shelly, S., Philipose, S.S., and Varghese, A.M. (2018, January 2\u20133). A Survey on Various Median Filtering Techniques for Removal of Impulse Noise from Digital Image. Proceedings of the 2018 Conference on Emerging Devices and Smart Systems (ICEDSS), Tiruchengode, India.","DOI":"10.1109\/ICEDSS.2018.8544273"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.jvcir.2018.01.011","article-title":"Median filtering detection of small-size image based on CNN","volume":"51","author":"Tang","year":"2018","journal-title":"J. Vis. Commun. Image Represent."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Yadav, G., Maheshwari, S., and Agarwal, A. (2014, January 24\u201327). Contrast Limited Adaptive Histogram Equalization Based Enhancement for Real Time Video System. Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Delhi, India.","DOI":"10.1109\/ICACCI.2014.6968381"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"11782","DOI":"10.1109\/ACCESS.2018.2797872","article-title":"Automatic Contrast-Limited Adaptive Histogram Equalization with Dual Gamma Correction","volume":"6","author":"Chang","year":"2018","journal-title":"IEEE Access"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Bendjillali, R.I., Beladgham, M., Merit, K., and Taleb-Ahmed, A. (2019). Improved Facial Expression Recognition Based on DWT Feature for Deep CNN. Electronics, 8.","DOI":"10.3390\/electronics8030324"},{"key":"ref_37","unstructured":"Azar, A.T. (2020). Control Applications for Biomedical Engineering Systems, Elsevier."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.fcij.2017.10.005","article-title":"Wavelet Based Transition Region Extraction for Image Segmentation","volume":"2","author":"Parida","year":"2017","journal-title":"Future Comput. Inform. J."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"22929","DOI":"10.1007\/s11042-020-09005-2","article-title":"A Novel Comparative Study Using Multi-Resolution Transforms and Convolutional Neural Network (CNN) for Contactless Palm Print Verification and Identification","volume":"79","author":"Hardalac","year":"2020","journal-title":"Multimed. Tools Appl."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"6602","DOI":"10.1109\/ACCESS.2020.2964035","article-title":"Fingerprint Enhancement Based on Tensor of Wavelet Subbands for Classification","volume":"8","author":"Le","year":"2020","journal-title":"IEEE Access"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Arbaoui, A., Ouahabi, A., Jacques, S., and Hamiane, M. (2021). Concrete Cracks Detection and Monitoring Using Deep Learning-Based Multiresolution Analysis. Electronics, 10.","DOI":"10.20944\/preprints202106.0194.v1"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Zhang, D. (2019). Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval, Springer International Publishing.","DOI":"10.1007\/978-3-030-17989-2"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Adjabi, I., Ouahabi, A., Benzaoui, A., and Jacques, S. (2021). Multi-Block Color-Binarized Statistical Images for Single-Sample Face Recognition. Sensors, 21.","DOI":"10.3390\/s21030728"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"053008","DOI":"10.1117\/1.JEI.23.5.053008","article-title":"Ear biometric recognition using local texture descriptors","volume":"23","author":"Benzaoui","year":"2014","journal-title":"J. Electron. Imaging"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Khaldi, Y., and Benzaoui, A. (2020, January 28\u201330). Region of interest synthesis using image-to-image translation for ear recognition. Proceedings of the International Conference on Advanced Aspects of Software Engineering (ICAASE), Constantine, Algeria.","DOI":"10.1109\/ICAASE51408.2020.9380127"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"043109","DOI":"10.1117\/1.OE.56.4.043109","article-title":"Experiments and improvements of ear recognition based on local texture descriptors","volume":"56","author":"Benzaoui","year":"2017","journal-title":"Opt. Eng."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Jiang, L., Cai, Z., Wang, D., and Jiang, S. (2007, January 24\u201327). Survey of Improving K-Nearest-Neighbor for Classification. Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Haikou, China.","DOI":"10.1109\/FSKD.2007.552"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Atia, N., Benzaoui, A., Jacques, S., Hamiane, M., Kourd, K.E., Bouakaz, A., and Ouahabi, A. (2022). Particle Swarm Optimization and Two-Way Fixed-Effects Analysis of Variance for Efficient Brain Tumor Segmentation. Cancers, 14.","DOI":"10.20944\/preprints202207.0211.v1"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"2343","DOI":"10.1007\/s00500-017-2930-y","article-title":"A Fuzzy-Based Classification Strategy (FBCS) Based on Brain\u2013Computer Interface","volume":"23","author":"Saleh","year":"2019","journal-title":"Soft Comput."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1109\/THMS.2015.2453203","article-title":"Robust Biometric Recognition from Palm Depth Images for Gloved Hands","volume":"45","author":"Nguyen","year":"2015","journal-title":"IEEE Trans. Hum.-Mach. Syst."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Chatterjee, A., Nobahari, H., and Siarry, P. (2013). Advances in Heuristic Signal Processing and Applications, Springer.","DOI":"10.1007\/978-3-642-37880-5"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/24\/9814\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:41:00Z","timestamp":1760146860000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/24\/9814"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,14]]},"references-count":51,"journal-issue":{"issue":"24","published-online":{"date-parts":[[2022,12]]}},"alternative-id":["s22249814"],"URL":"https:\/\/doi.org\/10.3390\/s22249814","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,14]]}}}